Text Generation
Transformers
Safetensors
qwen3
Generated from Trainer
unsloth
sft
trl
conversational
custom_code
text-generation-inference
Instructions to use Ba2han/model-sft-q2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ba2han/model-sft-q2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Ba2han/model-sft-q2", trust_remote_code=True) messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Ba2han/model-sft-q2", trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained("Ba2han/model-sft-q2", trust_remote_code=True) 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
- vLLM
How to use Ba2han/model-sft-q2 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Ba2han/model-sft-q2" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Ba2han/model-sft-q2", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Ba2han/model-sft-q2
- SGLang
How to use Ba2han/model-sft-q2 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 "Ba2han/model-sft-q2" \ --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": "Ba2han/model-sft-q2", "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 "Ba2han/model-sft-q2" \ --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": "Ba2han/model-sft-q2", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Unsloth Studio new
How to use Ba2han/model-sft-q2 with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Ba2han/model-sft-q2 to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Ba2han/model-sft-q2 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Ba2han/model-sft-q2 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Ba2han/model-sft-q2", max_seq_length=2048, ) - Docker Model Runner
How to use Ba2han/model-sft-q2 with Docker Model Runner:
docker model run hf.co/Ba2han/model-sft-q2
Training in progress, step 267
Browse files- README.md +4 -4
- chat_template.jinja +4 -0
- config.json +18 -13
- generation_config.json +2 -1
- model.safetensors +2 -2
- tokenizer_config.json +165 -3
- training_args.bin +1 -1
README.md
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---
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base_model: Ba2han/
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library_name: transformers
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model_name: model-sft-q2
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tags:
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- generated_from_trainer
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- trl
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- unsloth
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- sft
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licence: license
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---
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# Model Card for model-sft-q2
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This model is a fine-tuned version of [Ba2han/
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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## Training procedure
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/batuhan409/huggingface/runs/
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This model was trained with SFT.
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---
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base_model: Ba2han/qwen3_from_scratch
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library_name: transformers
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model_name: model-sft-q2
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tags:
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- generated_from_trainer
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- unsloth
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- sft
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- trl
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licence: license
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---
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# Model Card for model-sft-q2
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+
This model is a fine-tuned version of [Ba2han/qwen3_from_scratch](https://huggingface.co/Ba2han/qwen3_from_scratch).
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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## Training procedure
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+
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/batuhan409/huggingface/runs/ye3goxhy)
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This model was trained with SFT.
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chat_template.jinja
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{% for message in messages %}{{'<|im_start|>' + message['role'] + '
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' + message['content'].strip() + '<|im_end|>' + '
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'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
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' }}{% endif %}
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config.json
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{
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"architectures": [
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-
"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 50030,
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"dtype": "bfloat16",
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-
"eos_token_id":
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-
"head_dim":
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-
"hidden_act": "
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-
"hidden_size":
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"initializer_range": 0.02,
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-
"intermediate_size":
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"layer_types": [
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention"
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],
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"max_position_embeddings": 8192,
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-
"max_window_layers":
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-
"model_name": "Ba2han/
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"model_type": "qwen3",
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"num_attention_heads": 8,
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-
"num_hidden_layers":
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-
"num_key_value_heads":
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"pad_token_id": 50034,
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"rms_norm_eps": 1e-06,
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"rope_parameters": {
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-
"rope_theta":
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"rope_type": "default"
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},
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"sliding_window": null,
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-
"tie_word_embeddings":
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"transformers_version": "5.5.0",
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-
"unsloth_version": "2026.
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"use_cache": false,
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"use_sliding_window": false,
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"vocab_size": 50050
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{
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"architectures": [
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+
"SquaredReLUQwen3ForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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+
"auto_map": {
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"AutoModelForCausalLM": "patch.SquaredReLUQwen3ForCausalLM"
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},
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"bos_token_id": 50030,
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"dtype": "bfloat16",
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+
"eos_token_id": 50049,
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+
"head_dim": 128,
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+
"hidden_act": "squared_relu",
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+
"hidden_size": 1024,
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"initializer_range": 0.02,
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+
"intermediate_size": 2816,
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"layer_types": [
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention"
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],
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"max_position_embeddings": 8192,
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+
"max_window_layers": 28,
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+
"model_name": "Ba2han/qwen3_from_scratch",
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"model_type": "qwen3",
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"num_attention_heads": 8,
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+
"num_hidden_layers": 42,
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+
"num_key_value_heads": 2,
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"pad_token_id": 50034,
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"rms_norm_eps": 1e-06,
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"rope_parameters": {
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+
"rope_theta": 10000.0,
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"rope_type": "default"
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},
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"sliding_window": null,
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+
"tie_word_embeddings": true,
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"transformers_version": "5.5.0",
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+
"unsloth_version": "2026.5.7",
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"use_cache": false,
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"use_sliding_window": false,
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"vocab_size": 50050
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generation_config.json
CHANGED
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"_from_model_config": true,
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"bos_token_id": 50030,
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"eos_token_id": [
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50031
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],
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"max_length": 8192,
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"output_hidden_states": false,
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"pad_token_id": 50034,
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"transformers_version": "5.5.0",
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-
"use_cache":
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}
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"_from_model_config": true,
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"bos_token_id": 50030,
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"eos_token_id": [
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+
50049,
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50031
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],
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"max_length": 8192,
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"output_hidden_states": false,
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"pad_token_id": 50034,
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"transformers_version": "5.5.0",
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+
"use_cache": false
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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-
size
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:c634698e8c168625d167a6eb13258edeefc99eca29d8affc045abb8526782e58
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+
size 1049614696
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tokenizer_config.json
CHANGED
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@@ -3,7 +3,7 @@
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"bos_token": "<|begin_of_text|>",
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"clean_up_tokenization_spaces": true,
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"eos_token": "<|im_end|>",
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-
"
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"<|im_start|>",
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"<|im_end|>"
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],
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"model_max_length": 8192,
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"pad_token": "<|finetune_right_pad_id|>",
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"padding_side": "right",
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-
"tokenizer_class": "
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-
"unk_token": null
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}
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| 3 |
"bos_token": "<|begin_of_text|>",
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| 4 |
"clean_up_tokenization_spaces": true,
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| 5 |
"eos_token": "<|im_end|>",
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| 6 |
+
"extra_special_tokens": [
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| 7 |
"<|im_start|>",
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| 8 |
"<|im_end|>"
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| 9 |
],
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| 15 |
"model_max_length": 8192,
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| 16 |
"pad_token": "<|finetune_right_pad_id|>",
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| 17 |
"padding_side": "right",
|
| 18 |
+
"tokenizer_class": "TokenizersBackend",
|
| 19 |
+
"unk_token": null,
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| 20 |
+
"added_tokens_decoder": {
|
| 21 |
+
"50030": {
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| 22 |
+
"content": "<|begin_of_text|>",
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| 23 |
+
"single_word": false,
|
| 24 |
+
"lstrip": false,
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| 25 |
+
"rstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
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| 29 |
+
"50031": {
|
| 30 |
+
"content": "<|end_of_text|>",
|
| 31 |
+
"single_word": false,
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"rstrip": false,
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| 34 |
+
"normalized": false,
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| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"50032": {
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+
"content": "<|reserved_special_token_0|>",
|
| 39 |
+
"single_word": false,
|
| 40 |
+
"lstrip": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"normalized": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"50033": {
|
| 46 |
+
"content": "<|reserved_special_token_1|>",
|
| 47 |
+
"single_word": false,
|
| 48 |
+
"lstrip": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"normalized": false,
|
| 51 |
+
"special": true
|
| 52 |
+
},
|
| 53 |
+
"50034": {
|
| 54 |
+
"content": "<|finetune_right_pad_id|>",
|
| 55 |
+
"single_word": false,
|
| 56 |
+
"lstrip": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"normalized": false,
|
| 59 |
+
"special": true
|
| 60 |
+
},
|
| 61 |
+
"50035": {
|
| 62 |
+
"content": "<|reserved_special_token_2|>",
|
| 63 |
+
"single_word": false,
|
| 64 |
+
"lstrip": false,
|
| 65 |
+
"rstrip": false,
|
| 66 |
+
"normalized": false,
|
| 67 |
+
"special": true
|
| 68 |
+
},
|
| 69 |
+
"50036": {
|
| 70 |
+
"content": "<|start_header_id|>",
|
| 71 |
+
"single_word": false,
|
| 72 |
+
"lstrip": false,
|
| 73 |
+
"rstrip": false,
|
| 74 |
+
"normalized": false,
|
| 75 |
+
"special": true
|
| 76 |
+
},
|
| 77 |
+
"50037": {
|
| 78 |
+
"content": "<|end_header_id|>",
|
| 79 |
+
"single_word": false,
|
| 80 |
+
"lstrip": false,
|
| 81 |
+
"rstrip": false,
|
| 82 |
+
"normalized": false,
|
| 83 |
+
"special": true
|
| 84 |
+
},
|
| 85 |
+
"50038": {
|
| 86 |
+
"content": "<|eom_id|>",
|
| 87 |
+
"single_word": false,
|
| 88 |
+
"lstrip": false,
|
| 89 |
+
"rstrip": false,
|
| 90 |
+
"normalized": false,
|
| 91 |
+
"special": true
|
| 92 |
+
},
|
| 93 |
+
"50039": {
|
| 94 |
+
"content": "<|eot_id|>",
|
| 95 |
+
"single_word": false,
|
| 96 |
+
"lstrip": false,
|
| 97 |
+
"rstrip": false,
|
| 98 |
+
"normalized": false,
|
| 99 |
+
"special": true
|
| 100 |
+
},
|
| 101 |
+
"50040": {
|
| 102 |
+
"content": "<|python_tag|>",
|
| 103 |
+
"single_word": false,
|
| 104 |
+
"lstrip": false,
|
| 105 |
+
"rstrip": false,
|
| 106 |
+
"normalized": false,
|
| 107 |
+
"special": true
|
| 108 |
+
},
|
| 109 |
+
"50041": {
|
| 110 |
+
"content": "<|reserved_special_token_3|>",
|
| 111 |
+
"single_word": false,
|
| 112 |
+
"lstrip": false,
|
| 113 |
+
"rstrip": false,
|
| 114 |
+
"normalized": false,
|
| 115 |
+
"special": true
|
| 116 |
+
},
|
| 117 |
+
"50042": {
|
| 118 |
+
"content": "<|reserved_special_token_4|>",
|
| 119 |
+
"single_word": false,
|
| 120 |
+
"lstrip": false,
|
| 121 |
+
"rstrip": false,
|
| 122 |
+
"normalized": false,
|
| 123 |
+
"special": true
|
| 124 |
+
},
|
| 125 |
+
"50043": {
|
| 126 |
+
"content": "<|reserved_special_token_5|>",
|
| 127 |
+
"single_word": false,
|
| 128 |
+
"lstrip": false,
|
| 129 |
+
"rstrip": false,
|
| 130 |
+
"normalized": false,
|
| 131 |
+
"special": true
|
| 132 |
+
},
|
| 133 |
+
"50044": {
|
| 134 |
+
"content": "<|reserved_special_token_6|>",
|
| 135 |
+
"single_word": false,
|
| 136 |
+
"lstrip": false,
|
| 137 |
+
"rstrip": false,
|
| 138 |
+
"normalized": false,
|
| 139 |
+
"special": true
|
| 140 |
+
},
|
| 141 |
+
"50045": {
|
| 142 |
+
"content": "<|reserved_special_token_7|>",
|
| 143 |
+
"single_word": false,
|
| 144 |
+
"lstrip": false,
|
| 145 |
+
"rstrip": false,
|
| 146 |
+
"normalized": false,
|
| 147 |
+
"special": true
|
| 148 |
+
},
|
| 149 |
+
"50046": {
|
| 150 |
+
"content": "<|reserved_special_token_8|>",
|
| 151 |
+
"single_word": false,
|
| 152 |
+
"lstrip": false,
|
| 153 |
+
"rstrip": false,
|
| 154 |
+
"normalized": false,
|
| 155 |
+
"special": true
|
| 156 |
+
},
|
| 157 |
+
"50047": {
|
| 158 |
+
"content": "<|reserved_special_token_9|>",
|
| 159 |
+
"single_word": false,
|
| 160 |
+
"lstrip": false,
|
| 161 |
+
"rstrip": false,
|
| 162 |
+
"normalized": false,
|
| 163 |
+
"special": true
|
| 164 |
+
},
|
| 165 |
+
"50048": {
|
| 166 |
+
"content": "<|im_start|>",
|
| 167 |
+
"single_word": false,
|
| 168 |
+
"lstrip": false,
|
| 169 |
+
"rstrip": false,
|
| 170 |
+
"normalized": false,
|
| 171 |
+
"special": true
|
| 172 |
+
},
|
| 173 |
+
"50049": {
|
| 174 |
+
"content": "<|im_end|>",
|
| 175 |
+
"single_word": false,
|
| 176 |
+
"lstrip": false,
|
| 177 |
+
"rstrip": false,
|
| 178 |
+
"normalized": false,
|
| 179 |
+
"special": true
|
| 180 |
+
}
|
| 181 |
+
}
|
| 182 |
}
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5713
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:80a6c8d882cb703ede24f73dc39c2a799e65102964d1fc9b53392cf548d27209
|
| 3 |
size 5713
|