Text Generation
PEFT
Safetensors
Transformers
mistral
axolotl
lora
conversational
text-generation-inference
Instructions to use Heralax/dpn-newdata-normal-actual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Heralax/dpn-newdata-normal-actual with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("alpindale/Mistral-7B-v0.2-hf") model = PeftModel.from_pretrained(base_model, "Heralax/dpn-newdata-normal-actual") - Transformers
How to use Heralax/dpn-newdata-normal-actual with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Heralax/dpn-newdata-normal-actual") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Heralax/dpn-newdata-normal-actual") model = AutoModelForCausalLM.from_pretrained("Heralax/dpn-newdata-normal-actual", device_map="auto") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Heralax/dpn-newdata-normal-actual with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Heralax/dpn-newdata-normal-actual" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Heralax/dpn-newdata-normal-actual", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Heralax/dpn-newdata-normal-actual
- SGLang
How to use Heralax/dpn-newdata-normal-actual with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "Heralax/dpn-newdata-normal-actual" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Heralax/dpn-newdata-normal-actual", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "Heralax/dpn-newdata-normal-actual" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Heralax/dpn-newdata-normal-actual", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use Heralax/dpn-newdata-normal-actual with Docker Model Runner:
docker model run hf.co/Heralax/dpn-newdata-normal-actual
End of training
Browse files
README.md
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| 1 |
+
---
|
| 2 |
+
library_name: peft
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| 3 |
+
license: apache-2.0
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| 4 |
+
base_model: alpindale/Mistral-7B-v0.2-hf
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| 5 |
+
tags:
|
| 6 |
+
- axolotl
|
| 7 |
+
- base_model:adapter:alpindale/Mistral-7B-v0.2-hf
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| 8 |
+
- lora
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| 9 |
+
- transformers
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| 10 |
+
datasets:
|
| 11 |
+
- newsessions_revisedcutdown.jsonl
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| 12 |
+
- hidden_compressedgamescontext_reducedctx.jsonl
|
| 13 |
+
- manual_gameplay_truncated.jsonl
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| 14 |
+
- newdataplussilent-filtered.jsonl
|
| 15 |
+
- newprompt_lessreduced_1.jsonl
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| 16 |
+
- newprompt_lessreduced_2.jsonl
|
| 17 |
+
- newprompt_lessreduced_orig.jsonl
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| 18 |
+
- generics/bluemoon-2_5mil.jsonl
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| 19 |
+
- generics/capybara_2_5mil.jsonl
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| 20 |
+
- generics/qwq_3million.jsonl
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| 21 |
+
pipeline_tag: text-generation
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| 22 |
+
model-index:
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| 23 |
+
- name: dpn-newdata-normal-actual
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| 24 |
+
results: []
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| 25 |
+
---
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| 26 |
+
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| 27 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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| 28 |
+
should probably proofread and complete it, then remove this comment. -->
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| 29 |
+
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| 30 |
+
[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
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| 31 |
+
<details><summary>See axolotl config</summary>
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| 32 |
+
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| 33 |
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axolotl version: `0.15.0.dev0`
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| 34 |
+
```yaml
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| 35 |
+
# This is higher rank + human data
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| 36 |
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# + new data (the silence stuff).
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| 37 |
+
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| 38 |
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# Dataset configuration (placeholder - will be populated at runtime)
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| 39 |
+
datasets:
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| 40 |
+
- path: "newsessions_revisedcutdown.jsonl"
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| 41 |
+
type: "chat_template"
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| 42 |
+
field_messages: "conversations"
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| 43 |
+
message_property_mappings:
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| 44 |
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role: "from"
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| 45 |
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content: "value"
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| 46 |
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- path: "hidden_compressedgamescontext_reducedctx.jsonl"
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| 47 |
+
type: "chat_template"
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| 48 |
+
field_messages: "conversations"
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| 49 |
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message_property_mappings:
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| 50 |
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role: "from"
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content: "value"
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| 52 |
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- path: "manual_gameplay_truncated.jsonl"
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| 53 |
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type: "chat_template"
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| 54 |
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field_messages: "conversations"
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| 55 |
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message_property_mappings:
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| 56 |
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role: "from"
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| 57 |
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content: "value"
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| 58 |
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- path: "newdataplussilent-filtered.jsonl"
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type: "chat_template"
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field_messages: "conversations"
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+
message_property_mappings:
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| 62 |
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role: "from"
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content: "value"
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| 64 |
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- path: "newprompt_lessreduced_1.jsonl"
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| 65 |
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type: "chat_template"
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| 66 |
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field_messages: "conversations"
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| 67 |
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message_property_mappings:
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| 68 |
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role: "from"
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| 69 |
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content: "value"
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| 70 |
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- path: "newprompt_lessreduced_2.jsonl"
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| 71 |
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type: "chat_template"
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| 72 |
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field_messages: "conversations"
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| 73 |
+
message_property_mappings:
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| 74 |
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role: "from"
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| 75 |
+
content: "value"
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| 76 |
+
- path: "newprompt_lessreduced_orig.jsonl"
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| 77 |
+
type: "chat_template"
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| 78 |
+
field_messages: "conversations"
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| 79 |
+
message_property_mappings:
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| 80 |
+
role: "from"
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| 81 |
+
content: "value"
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| 82 |
+
- path: "generics/bluemoon-2_5mil.jsonl"
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| 83 |
+
type: "chat_template"
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| 84 |
+
field_messages: "conversations"
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| 85 |
+
message_property_mappings:
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| 86 |
+
role: "from"
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| 87 |
+
content: "value"
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| 88 |
+
- path: "generics/capybara_2_5mil.jsonl"
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| 89 |
+
type: "chat_template"
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| 90 |
+
field_messages: "conversations"
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| 91 |
+
message_property_mappings:
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| 92 |
+
role: "from"
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| 93 |
+
content: "value"
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| 94 |
+
- path: "generics/qwq_3million.jsonl"
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| 95 |
+
type: "chat_template"
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| 96 |
+
field_messages: "conversations"
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| 97 |
+
message_property_mappings:
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| 98 |
+
role: "from"
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| 99 |
+
content: "value"
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| 100 |
+
|
| 101 |
+
# Model configuration
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| 102 |
+
base_model: "alpindale/Mistral-7B-v0.2-hf" # TODO EITHER MISTRAL OR QWEN BASE
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| 103 |
+
tokenizer_type: "AutoTokenizer"
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| 104 |
+
model_type: "AutoModelForCausalLM"
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| 105 |
+
load_in_8bit: false
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| 106 |
+
load_in_4bit: false
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| 107 |
+
strict: false
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| 108 |
+
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| 109 |
+
# LoRA configuration
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| 110 |
+
adapter: "lora"
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| 111 |
+
lora_r: 128 # reducing this had helped
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| 112 |
+
lora_alpha: 512 # maybe increase?
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| 113 |
+
lora_dropout: 0.4 # increasing this had helped
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| 114 |
+
lora_target_linear: true
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| 115 |
+
lora_target_modules:
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| 116 |
+
- "gate_proj"
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| 117 |
+
- "down_proj"
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| 118 |
+
- "up_proj"
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| 119 |
+
- "q_proj"
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| 120 |
+
- "v_proj"
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| 121 |
+
- "k_proj"
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| 122 |
+
- "o_proj"
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| 123 |
+
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| 124 |
+
# Dataset preparation and output
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| 125 |
+
dataset_prepared_path: "last_finetune_prepared"
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| 126 |
+
output_dir: "./finetune-model-output"
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| 127 |
+
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| 128 |
+
# Training parameters
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| 129 |
+
seed: 1337
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| 130 |
+
sequence_len: 11000
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| 131 |
+
sample_packing: false
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| 132 |
+
pad_to_sequence_len: true
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| 133 |
+
shuffle_merged_datasets: true
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| 134 |
+
|
| 135 |
+
# Batch and gradient settings
|
| 136 |
+
gradient_accumulation_steps: 20
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| 137 |
+
micro_batch_size: 6
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| 138 |
+
eval_batch_size: 1
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| 139 |
+
|
| 140 |
+
# Training duration
|
| 141 |
+
num_epochs: 2
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| 142 |
+
|
| 143 |
+
# Optimizer and scheduler
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| 144 |
+
optimizer: "paged_adamw_8bit"
|
| 145 |
+
lr_scheduler: "constant"
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| 146 |
+
learning_rate: 0.0001 # as high as it can go
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| 147 |
+
weight_decay: 0.01
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| 148 |
+
max_grad_norm: 1 # TODO look into this further
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| 149 |
+
|
| 150 |
+
# Training options
|
| 151 |
+
train_on_inputs: false
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| 152 |
+
group_by_length: false
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| 153 |
+
noisy_embedding_alpha: 0 # remove?
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| 154 |
+
|
| 155 |
+
# Precision settings
|
| 156 |
+
bf16: true
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| 157 |
+
fp16: false
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| 158 |
+
tf32: false
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| 159 |
+
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| 160 |
+
# Memory optimization
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| 161 |
+
gradient_checkpointing: true
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| 162 |
+
|
| 163 |
+
# Attention mechanism
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| 164 |
+
xformers_attention: false
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| 165 |
+
flash_attention: true
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| 166 |
+
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| 167 |
+
# Chat template
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| 168 |
+
chat_template: "chatml"
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| 169 |
+
|
| 170 |
+
# Checkpointing and saving
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| 171 |
+
auto_resume_from_checkpoints: false
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| 172 |
+
save_strategy: "epoch"
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| 173 |
+
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| 174 |
+
# Evaluation
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| 175 |
+
warmup_ratio: 0.1
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| 176 |
+
evals_per_epoch: 1
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| 177 |
+
val_set_size: 0.0
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| 178 |
+
eval_sample_packing: false
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| 179 |
+
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| 180 |
+
# Logging
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| 181 |
+
logging_steps: 1
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| 182 |
+
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| 183 |
+
# Weights & Biases (placeholders - will be populated if wandb_project is provided)
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| 184 |
+
wandb_project: diplonations
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| 185 |
+
wandb_entity: ""
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| 186 |
+
wandb_watch: ""
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| 187 |
+
wandb_run_id: ""
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| 188 |
+
wandb_log_model: ""
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| 189 |
+
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| 190 |
+
# Special tokens
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| 191 |
+
special_tokens:
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| 192 |
+
pad_token: "<unk>"
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| 193 |
+
eos_token: "</s>"
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| 194 |
+
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| 195 |
+
# Liger kernel optimizations
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| 196 |
+
use_liger_kernel: true
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| 197 |
+
plugins:
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| 198 |
+
- "axolotl.integrations.liger.LigerPlugin"
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| 199 |
+
liger_rope: true
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| 200 |
+
liger_rms_norm: true
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| 201 |
+
liger_glu_activation: true
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| 202 |
+
liger_layer_norm: true
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| 203 |
+
liger_fused_linear_cross_entropy: true
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| 204 |
+
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| 205 |
+
hub_model_id: Heralax/dpn-newdata-normal-actual
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+
hub_strategy: all_checkpoints
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+
```
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| 208 |
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| 209 |
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</details><br>
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| 210 |
+
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| 211 |
+
# dpn-newdata-normal-actual
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| 212 |
+
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| 213 |
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This model is a fine-tuned version of [alpindale/Mistral-7B-v0.2-hf](https://huggingface.co/alpindale/Mistral-7B-v0.2-hf) on the newsessions_revisedcutdown.jsonl, the hidden_compressedgamescontext_reducedctx.jsonl, the manual_gameplay_truncated.jsonl, the newdataplussilent-filtered.jsonl, the newprompt_lessreduced_1.jsonl, the newprompt_lessreduced_2.jsonl, the newprompt_lessreduced_orig.jsonl, the generics/bluemoon-2_5mil.jsonl, the generics/capybara_2_5mil.jsonl and the generics/qwq_3million.jsonl datasets.
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+
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| 215 |
+
## Model description
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| 216 |
+
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| 217 |
+
More information needed
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| 218 |
+
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| 219 |
+
## Intended uses & limitations
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| 220 |
+
|
| 221 |
+
More information needed
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| 222 |
+
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| 223 |
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## Training and evaluation data
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| 224 |
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| 225 |
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More information needed
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| 226 |
+
|
| 227 |
+
## Training procedure
|
| 228 |
+
|
| 229 |
+
### Training hyperparameters
|
| 230 |
+
|
| 231 |
+
The following hyperparameters were used during training:
|
| 232 |
+
- learning_rate: 0.0001
|
| 233 |
+
- train_batch_size: 6
|
| 234 |
+
- eval_batch_size: 1
|
| 235 |
+
- seed: 1337
|
| 236 |
+
- gradient_accumulation_steps: 20
|
| 237 |
+
- total_train_batch_size: 120
|
| 238 |
+
- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
| 239 |
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- lr_scheduler_type: constant
|
| 240 |
+
- lr_scheduler_warmup_steps: 65
|
| 241 |
+
- training_steps: 656
|
| 242 |
+
|
| 243 |
+
### Training results
|
| 244 |
+
|
| 245 |
+
|
| 246 |
+
|
| 247 |
+
### Framework versions
|
| 248 |
+
|
| 249 |
+
- PEFT 0.18.1
|
| 250 |
+
- Transformers 5.0.0
|
| 251 |
+
- Pytorch 2.9.1+cu128
|
| 252 |
+
- Datasets 4.5.0
|
| 253 |
+
- Tokenizers 0.22.2
|
debug.log
CHANGED
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@@ -981,4 +981,162 @@ trainable params: 335,544,320 || all params: 7,577,276,416 || trainable%: 4.4283
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...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
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...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
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...adapter_model.safetensors: 5%|βββββββββ | 67.1MB / 1.34GB [A[A[A
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| 991 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
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| 992 |
...adapter_model.safetensors: 10%|ββββββββββββββββββ | 134MB / 1.34GB [A[A[A
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| 993 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββοΏ½οΏ½οΏ½βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
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| 994 |
...adapter_model.safetensors: 16%|ββββββββββββββββββββββββββββ | 210MB / 1.34GB [A[A[A
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| 995 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
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| 996 |
...adapter_model.safetensors: 20%|ββββββββββββββββββββββββββββββββββββ | 268MB / 1.34GB [A[A[A
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| 997 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
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| 998 |
...adapter_model.safetensors: 24%|ββββββββββββββββββββββββββββββββββββββββββββ | 327MB / 1.34GB [A[A[A
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| 999 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
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| 1000 |
...adapter_model.safetensors: 28%|βββββββββββββββββββββββββββββββββββββββββββββββββββ | 377MB / 1.34GB [A[A[A
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| 1001 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββοΏ½οΏ½οΏ½βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
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| 1002 |
...adapter_model.safetensors: 32%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 428MB / 1.34GB [A[A[A
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| 1003 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
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| 1004 |
...adapter_model.safetensors: 36%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 478MB / 1.34GB [A[A[A
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| 1005 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
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| 1006 |
...adapter_model.safetensors: 39%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 528MB / 1.34GB [A[A[A
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|
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| 1007 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
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| 1008 |
...adapter_model.safetensors: 44%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 587MB / 1.34GB [A[A[A
|
|
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| 1009 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
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| 1010 |
...adapter_model.safetensors: 47%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 638MB / 1.34GB [A[A[A
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|
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|
|
| 1011 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
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| 1012 |
...adapter_model.safetensors: 52%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 696MB / 1.34GB [A[A[A
|
|
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| 1013 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
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| 1014 |
...adapter_model.safetensors: 56%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 747MB / 1.34GB [A[A[A
|
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| 1015 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
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| 1016 |
...adapter_model.safetensors: 59%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 797MB / 1.34GB [A[A[A
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| 1017 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
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| 1018 |
...adapter_model.safetensors: 64%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 856MB / 1.34GB [A[A[A
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| 1019 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
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| 1020 |
...adapter_model.safetensors: 69%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 923MB / 1.34GB [A[A[A
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|
| 1021 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
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|
| 1022 |
...adapter_model.safetensors: 72%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 973MB / 1.34GB [A[A[A
|
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| 1023 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
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| 1024 |
...adapter_model.safetensors: 77%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 1.03GB / 1.34GB [A[A[A
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| 1025 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
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|
| 1026 |
...adapter_model.safetensors: 81%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 1.08GB / 1.34GB [A[A[A
|
|
|
|
|
|
|
| 1027 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
|
|
|
|
|
|
|
|
|
|
| 1028 |
...adapter_model.safetensors: 84%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 1.13GB / 1.34GB [A[A[A
|
|
|
|
|
|
|
| 1029 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
|
|
|
|
|
|
|
|
|
|
| 1030 |
...adapter_model.safetensors: 89%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 1.19GB / 1.34GB [A[A[A
|
|
|
|
|
|
|
| 1031 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
|
|
|
|
|
|
|
|
|
|
| 1032 |
...adapter_model.safetensors: 92%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 1.24GB / 1.34GB [A[A[A
|
|
|
|
|
|
|
| 1033 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
|
|
|
|
|
|
|
|
|
|
| 1034 |
...adapter_model.safetensors: 96%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββοΏ½οΏ½ββββββββββ | 1.29GB / 1.34GB [A[A[A
|
|
|
|
|
|
|
| 1035 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
|
|
|
|
|
|
|
|
|
|
| 1036 |
...adapter_model.safetensors: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1.34GB / 1.34GB [A[A[A
|
|
|
|
|
|
|
| 1037 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
|
|
|
|
|
|
|
|
|
|
| 1038 |
...adapter_model.safetensors: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1.34GB / 1.34GB [A[A[A
|
|
|
|
|
|
|
| 1039 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
|
|
|
|
|
|
|
|
|
|
| 1040 |
...adapter_model.safetensors: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1.34GB / 1.34GB [A[A[A
|
|
|
|
|
|
|
| 1041 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
|
|
|
|
|
|
|
|
|
|
| 1042 |
...adapter_model.safetensors: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1.34GB / 1.34GB [A[A[A
|
|
|
|
|
|
|
| 1043 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
|
|
|
|
|
|
|
|
|
|
| 1044 |
...adapter_model.safetensors: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1.34GB / 1.34GB [A[A[A
|
|
|
|
|
|
|
| 1045 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
|
|
|
|
|
|
|
|
|
|
| 1046 |
...adapter_model.safetensors: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1.34GB / 1.34GB [A[A[A
|
|
|
|
|
|
|
| 1047 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB
|
|
|
|
| 1048 |
...adapter_model.safetensors: 100%|ββββββββββββββββββββββββοΏ½οΏ½οΏ½ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1.34GB / 1.34GB
|
|
|
|
| 981 |
|
| 982 |
|
| 983 |
|
| 984 |
|
| 985 |
|
| 986 |
+
|
| 987 |
+
[2026-02-13 10:49:16,120] [INFO] [axolotl.train.save_trained_model:226] [PID:9815] Training completed! Saving trained model to ./finetune-model-output.
|
| 988 |
+
[2026-02-13 10:49:35,981] [INFO] [axolotl.train.save_trained_model:340] [PID:9815] Model successfully saved to ./finetune-model-output
|
| 989 |
+
[2026-02-13 10:49:36,655] [INFO] [axolotl.core.trainers.base._save:721] [PID:9815] Saving model checkpoint to ./finetune-model-output
|
| 990 |
+
|
| 991 |
+
|
| 992 |
+
|
| 993 |
+
|
| 994 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
|
| 995 |
+
|
| 996 |
+
|
| 997 |
+
|
| 998 |
...adapter_model.safetensors: 5%|βββββββββ | 67.1MB / 1.34GB [A[A[A
|
| 999 |
+
|
| 1000 |
+
|
| 1001 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
|
| 1002 |
+
|
| 1003 |
+
|
| 1004 |
+
|
| 1005 |
...adapter_model.safetensors: 5%|βββββββββ | 67.1MB / 1.34GB [A[A[A
|
| 1006 |
+
|
| 1007 |
+
|
| 1008 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
|
| 1009 |
+
|
| 1010 |
+
|
| 1011 |
+
|
| 1012 |
...adapter_model.safetensors: 10%|ββββββββββββββββββ | 134MB / 1.34GB [A[A[A
|
| 1013 |
+
|
| 1014 |
+
|
| 1015 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββοΏ½οΏ½οΏ½βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
|
| 1016 |
+
|
| 1017 |
+
|
| 1018 |
+
|
| 1019 |
...adapter_model.safetensors: 16%|ββββββββββββββββββββββββββββ | 210MB / 1.34GB [A[A[A
|
| 1020 |
+
|
| 1021 |
+
|
| 1022 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
|
| 1023 |
+
|
| 1024 |
+
|
| 1025 |
+
|
| 1026 |
...adapter_model.safetensors: 20%|ββββββββββββββββββββββββββββββββββββ | 268MB / 1.34GB [A[A[A
|
| 1027 |
+
|
| 1028 |
+
|
| 1029 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
|
| 1030 |
+
|
| 1031 |
+
|
| 1032 |
+
|
| 1033 |
...adapter_model.safetensors: 24%|ββββββββββββββββββββββββββββββββββββββββββββ | 327MB / 1.34GB [A[A[A
|
| 1034 |
+
|
| 1035 |
+
|
| 1036 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
|
| 1037 |
+
|
| 1038 |
+
|
| 1039 |
+
|
| 1040 |
...adapter_model.safetensors: 28%|βββββββββββββββββββββββββββββββββββββββββββββββββββ | 377MB / 1.34GB [A[A[A
|
| 1041 |
+
|
| 1042 |
+
|
| 1043 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββοΏ½οΏ½οΏ½βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
|
| 1044 |
+
|
| 1045 |
+
|
| 1046 |
+
|
| 1047 |
...adapter_model.safetensors: 32%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 428MB / 1.34GB [A[A[A
|
| 1048 |
+
|
| 1049 |
+
|
| 1050 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
|
| 1051 |
+
|
| 1052 |
+
|
| 1053 |
+
|
| 1054 |
...adapter_model.safetensors: 36%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 478MB / 1.34GB [A[A[A
|
| 1055 |
+
|
| 1056 |
+
|
| 1057 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
|
| 1058 |
+
|
| 1059 |
+
|
| 1060 |
+
|
| 1061 |
...adapter_model.safetensors: 39%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 528MB / 1.34GB [A[A[A
|
| 1062 |
+
|
| 1063 |
+
|
| 1064 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
|
| 1065 |
+
|
| 1066 |
+
|
| 1067 |
+
|
| 1068 |
...adapter_model.safetensors: 44%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 587MB / 1.34GB [A[A[A
|
| 1069 |
+
|
| 1070 |
+
|
| 1071 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
|
| 1072 |
+
|
| 1073 |
+
|
| 1074 |
+
|
| 1075 |
...adapter_model.safetensors: 47%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 638MB / 1.34GB [A[A[A
|
| 1076 |
+
|
| 1077 |
+
|
| 1078 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
|
| 1079 |
+
|
| 1080 |
+
|
| 1081 |
+
|
| 1082 |
...adapter_model.safetensors: 52%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 696MB / 1.34GB [A[A[A
|
| 1083 |
+
|
| 1084 |
+
|
| 1085 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
|
| 1086 |
+
|
| 1087 |
+
|
| 1088 |
+
|
| 1089 |
...adapter_model.safetensors: 56%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 747MB / 1.34GB [A[A[A
|
| 1090 |
+
|
| 1091 |
+
|
| 1092 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
|
| 1093 |
+
|
| 1094 |
+
|
| 1095 |
+
|
| 1096 |
...adapter_model.safetensors: 59%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 797MB / 1.34GB [A[A[A
|
| 1097 |
+
|
| 1098 |
+
|
| 1099 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
|
| 1100 |
+
|
| 1101 |
+
|
| 1102 |
+
|
| 1103 |
...adapter_model.safetensors: 64%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 856MB / 1.34GB [A[A[A
|
| 1104 |
+
|
| 1105 |
+
|
| 1106 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
|
| 1107 |
+
|
| 1108 |
+
|
| 1109 |
+
|
| 1110 |
...adapter_model.safetensors: 69%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 923MB / 1.34GB [A[A[A
|
| 1111 |
+
|
| 1112 |
+
|
| 1113 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
|
| 1114 |
+
|
| 1115 |
+
|
| 1116 |
+
|
| 1117 |
...adapter_model.safetensors: 72%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 973MB / 1.34GB [A[A[A
|
| 1118 |
+
|
| 1119 |
+
|
| 1120 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
|
| 1121 |
+
|
| 1122 |
+
|
| 1123 |
+
|
| 1124 |
...adapter_model.safetensors: 77%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 1.03GB / 1.34GB [A[A[A
|
| 1125 |
+
|
| 1126 |
+
|
| 1127 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
|
| 1128 |
+
|
| 1129 |
+
|
| 1130 |
+
|
| 1131 |
...adapter_model.safetensors: 81%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 1.08GB / 1.34GB [A[A[A
|
| 1132 |
+
|
| 1133 |
+
|
| 1134 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
|
| 1135 |
+
|
| 1136 |
+
|
| 1137 |
+
|
| 1138 |
...adapter_model.safetensors: 84%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 1.13GB / 1.34GB [A[A[A
|
| 1139 |
+
|
| 1140 |
+
|
| 1141 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
|
| 1142 |
+
|
| 1143 |
+
|
| 1144 |
+
|
| 1145 |
...adapter_model.safetensors: 89%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 1.19GB / 1.34GB [A[A[A
|
| 1146 |
+
|
| 1147 |
+
|
| 1148 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
|
| 1149 |
+
|
| 1150 |
+
|
| 1151 |
+
|
| 1152 |
...adapter_model.safetensors: 92%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 1.24GB / 1.34GB [A[A[A
|
| 1153 |
+
|
| 1154 |
+
|
| 1155 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
|
| 1156 |
+
|
| 1157 |
+
|
| 1158 |
+
|
| 1159 |
...adapter_model.safetensors: 96%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββοΏ½οΏ½ββββββββββ | 1.29GB / 1.34GB [A[A[A
|
| 1160 |
+
|
| 1161 |
+
|
| 1162 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
|
| 1163 |
+
|
| 1164 |
+
|
| 1165 |
+
|
| 1166 |
...adapter_model.safetensors: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1.34GB / 1.34GB [A[A[A
|
| 1167 |
+
|
| 1168 |
+
|
| 1169 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
|
| 1170 |
+
|
| 1171 |
+
|
| 1172 |
+
|
| 1173 |
...adapter_model.safetensors: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1.34GB / 1.34GB [A[A[A
|
| 1174 |
+
|
| 1175 |
+
|
| 1176 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
|
| 1177 |
+
|
| 1178 |
+
|
| 1179 |
+
|
| 1180 |
...adapter_model.safetensors: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1.34GB / 1.34GB [A[A[A
|
| 1181 |
+
|
| 1182 |
+
|
| 1183 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
|
| 1184 |
+
|
| 1185 |
+
|
| 1186 |
+
|
| 1187 |
...adapter_model.safetensors: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1.34GB / 1.34GB [A[A[A
|
| 1188 |
+
|
| 1189 |
+
|
| 1190 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
|
| 1191 |
+
|
| 1192 |
+
|
| 1193 |
+
|
| 1194 |
...adapter_model.safetensors: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1.34GB / 1.34GB [A[A[A
|
| 1195 |
+
|
| 1196 |
+
|
| 1197 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB [A[A
|
| 1198 |
+
|
| 1199 |
+
|
| 1200 |
+
|
| 1201 |
...adapter_model.safetensors: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1.34GB / 1.34GB [A[A[A
|
| 1202 |
+
|
| 1203 |
+
|
| 1204 |
...-output/training_args.bin: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 6.99kB / 6.99kB
|
| 1205 |
+
|
| 1206 |
...adapter_model.safetensors: 100%|ββββββββββββββββββββββββοΏ½οΏ½οΏ½ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1.34GB / 1.34GB
|