Text Generation
Transformers
Safetensors
qwen3
Generated from Trainer
trl
unsloth
sft
conversational
text-generation-inference
Instructions to use Ba2han/m-sft-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ba2han/m-sft-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Ba2han/m-sft-2") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Ba2han/m-sft-2") model = AutoModelForCausalLM.from_pretrained("Ba2han/m-sft-2") 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 Ba2han/m-sft-2 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Ba2han/m-sft-2" # 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/m-sft-2", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Ba2han/m-sft-2
- SGLang
How to use Ba2han/m-sft-2 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/m-sft-2" \ --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/m-sft-2", "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/m-sft-2" \ --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/m-sft-2", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Unsloth Studio
How to use Ba2han/m-sft-2 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/m-sft-2 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/m-sft-2 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Ba2han/m-sft-2 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Ba2han/m-sft-2", max_seq_length=2048, ) - Docker Model Runner
How to use Ba2han/m-sft-2 with Docker Model Runner:
docker model run hf.co/Ba2han/m-sft-2
Training in progress, step 72, checkpoint
Browse files- .gitattributes +1 -0
- last-checkpoint/added_tokens.json +28 -0
- last-checkpoint/chat_template.jinja +8 -0
- last-checkpoint/config.json +49 -0
- last-checkpoint/generation_config.json +9 -0
- last-checkpoint/merges.txt +0 -0
- last-checkpoint/model.safetensors +3 -0
- last-checkpoint/optimizer.pt +3 -0
- last-checkpoint/rng_state.pth +3 -0
- last-checkpoint/scheduler.pt +3 -0
- last-checkpoint/special_tokens_map.json +20 -0
- last-checkpoint/tokenizer.json +3 -0
- last-checkpoint/tokenizer_config.json +224 -0
- last-checkpoint/trainer_state.json +538 -0
- last-checkpoint/training_args.bin +3 -0
- last-checkpoint/vocab.json +0 -0
.gitattributes
CHANGED
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@@ -34,3 +34,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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last-checkpoint/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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last-checkpoint/added_tokens.json
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{
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"</think>": 151668,
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"</tool_call>": 151658,
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"</tool_response>": 151666,
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"<think>": 151667,
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"<tool_call>": 151657,
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"<tool_response>": 151665,
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"<|box_end|>": 151649,
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"<|box_start|>": 151648,
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"<|endoftext|>": 151643,
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"<|file_sep|>": 151664,
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"<|fim_middle|>": 151660,
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"<|fim_pad|>": 151662,
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"<|fim_prefix|>": 151659,
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"<|fim_suffix|>": 151661,
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"<|im_end|>": 151645,
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"<|im_start|>": 151644,
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"<|image_pad|>": 151655,
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"<|object_ref_end|>": 151647,
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"<|object_ref_start|>": 151646,
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"<|quad_end|>": 151651,
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"<|quad_start|>": 151650,
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"<|repo_name|>": 151663,
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"<|video_pad|>": 151656,
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"<|vision_end|>": 151653,
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"<|vision_pad|>": 151654,
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"<|vision_start|>": 151652
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}
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last-checkpoint/chat_template.jinja
ADDED
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{% for message in messages %}{% if message['role'] == 'user' %}{{'<|im_start|>user
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' + message['content'] + '<|im_end|>
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'}}{% elif message['role'] == 'assistant' %}{{'<|im_start|>assistant
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' + message['content'] + '<|im_end|>
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' }}{% else %}{{ '<|im_start|>system
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' + message['content'] + '<|im_end|>
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' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
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' }}{% endif %}
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last-checkpoint/config.json
ADDED
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{
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"architectures": [
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"Qwen3ForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"dtype": "bfloat16",
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"eos_token_id": 151645,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 1280,
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"initializer_range": 0.02,
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"intermediate_size": 3840,
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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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"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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| 33 |
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"max_window_layers": 16,
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"model_type": "qwen3",
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| 35 |
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"num_attention_heads": 16,
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| 36 |
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"num_hidden_layers": 16,
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| 37 |
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"num_key_value_heads": 8,
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| 38 |
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"pad_token_id": 151654,
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| 39 |
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"rms_norm_eps": 1e-06,
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| 40 |
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"rope_scaling": null,
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| 41 |
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"rope_theta": 10000,
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| 42 |
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"sliding_window": null,
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| 43 |
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"tie_word_embeddings": true,
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| 44 |
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"transformers_version": "4.57.1",
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| 45 |
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"unsloth_version": "2025.10.12",
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| 46 |
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"use_cache": true,
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"use_sliding_window": false,
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"vocab_size": 151669
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}
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last-checkpoint/generation_config.json
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{
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"_from_model_config": true,
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"eos_token_id": [
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151645
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],
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"max_length": 8192,
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"pad_token_id": 151654,
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"transformers_version": "4.57.1"
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}
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last-checkpoint/merges.txt
ADDED
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The diff for this file is too large to render.
See raw diff
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last-checkpoint/model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:d93e586d311b719c71ddfda2ce115e7c331965b1d4590a73a1588b439a86ec0b
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size 1111902928
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last-checkpoint/optimizer.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:b48fa7b21cbee2cd356ae3fff03800105f6e620aaca169794133fe190c52fe26
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size 2288456139
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last-checkpoint/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:0e831a926501c469a9775d4b96fe9f086ccb9933946219ebf4fe959ebd9224d3
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size 14709
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last-checkpoint/scheduler.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:d707a902ef2f2bc42748a130649596c5a49add3e8def53f0f98f1ae2614521ef
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size 1465
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last-checkpoint/special_tokens_map.json
ADDED
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@@ -0,0 +1,20 @@
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{
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"additional_special_tokens": [
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{
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| 4 |
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"content": "<|im_start|>",
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| 5 |
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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| 8 |
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"single_word": false
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},
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{
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"content": "<|im_end|>",
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"lstrip": false,
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"normalized": false,
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| 14 |
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"rstrip": false,
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"single_word": false
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| 16 |
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}
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| 17 |
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],
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| 18 |
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"eos_token": "<|im_end|>",
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| 19 |
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"pad_token": "<|vision_pad|>"
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}
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last-checkpoint/tokenizer.json
ADDED
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
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| 3 |
+
size 11422654
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last-checkpoint/tokenizer_config.json
ADDED
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@@ -0,0 +1,224 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"151643": {
|
| 4 |
+
"content": "<|endoftext|>",
|
| 5 |
+
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|
| 6 |
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|
| 7 |
+
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|
| 8 |
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|
| 9 |
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"special": true
|
| 10 |
+
},
|
| 11 |
+
"151644": {
|
| 12 |
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"content": "<|im_start|>",
|
| 13 |
+
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|
| 14 |
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|
| 15 |
+
"rstrip": false,
|
| 16 |
+
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|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"151645": {
|
| 20 |
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"content": "<|im_end|>",
|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
+
"special": true
|
| 26 |
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},
|
| 27 |
+
"151646": {
|
| 28 |
+
"content": "<|object_ref_start|>",
|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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"special": true
|
| 34 |
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},
|
| 35 |
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"151647": {
|
| 36 |
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"content": "<|object_ref_end|>",
|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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"special": true
|
| 42 |
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|
| 43 |
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"151648": {
|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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"151649": {
|
| 52 |
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"content": "<|box_end|>",
|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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"151650": {
|
| 60 |
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|
| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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|
| 66 |
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|
| 67 |
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"151651": {
|
| 68 |
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"content": "<|quad_end|>",
|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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"content": "<|vision_start|>",
|
| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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"content": "<|vision_end|>",
|
| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
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"151654": {
|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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"151655": {
|
| 100 |
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"content": "<|image_pad|>",
|
| 101 |
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|
| 102 |
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|
| 103 |
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|
| 104 |
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|
| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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"content": "<|video_pad|>",
|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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"151657": {
|
| 116 |
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"content": "<tool_call>",
|
| 117 |
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|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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"151658": {
|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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|
| 142 |
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|
| 143 |
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|
| 144 |
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|
| 145 |
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|
| 146 |
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|
| 147 |
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|
| 148 |
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|
| 149 |
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|
| 150 |
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|
| 151 |
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|
| 152 |
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|
| 153 |
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|
| 154 |
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|
| 155 |
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|
| 156 |
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|
| 157 |
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|
| 158 |
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|
| 159 |
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|
| 160 |
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|
| 161 |
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|
| 162 |
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|
| 163 |
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|
| 164 |
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"content": "<|repo_name|>",
|
| 165 |
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|
| 166 |
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|
| 167 |
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|
| 168 |
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|
| 169 |
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|
| 170 |
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|
| 171 |
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"151664": {
|
| 172 |
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"content": "<|file_sep|>",
|
| 173 |
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|
| 174 |
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|
| 175 |
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|
| 176 |
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|
| 177 |
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|
| 178 |
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|
| 179 |
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"151665": {
|
| 180 |
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|
| 181 |
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|
| 182 |
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|
| 183 |
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|
| 184 |
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|
| 185 |
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|
| 186 |
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|
| 187 |
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|
| 188 |
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|
| 189 |
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|
| 190 |
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|
| 191 |
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|
| 192 |
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|
| 193 |
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|
| 194 |
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|
| 195 |
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|
| 196 |
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|
| 197 |
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|
| 198 |
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|
| 199 |
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|
| 200 |
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|
| 201 |
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|
| 202 |
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|
| 203 |
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"151668": {
|
| 204 |
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|
| 205 |
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|
| 206 |
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|
| 207 |
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|
| 208 |
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|
| 209 |
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|
| 210 |
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|
| 211 |
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|
| 212 |
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|
| 213 |
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|
| 214 |
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|
| 215 |
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],
|
| 216 |
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|
| 217 |
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|
| 218 |
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|
| 219 |
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|
| 220 |
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|
| 221 |
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|
| 222 |
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|
| 223 |
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|
| 224 |
+
}
|
last-checkpoint/trainer_state.json
ADDED
|
@@ -0,0 +1,538 @@
|
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