Instructions to use KKHYA/llavaqwen2.5-32b-finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KKHYA/llavaqwen2.5-32b-finetune with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="KKHYA/llavaqwen2.5-32b-finetune") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("KKHYA/llavaqwen2.5-32b-finetune", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use KKHYA/llavaqwen2.5-32b-finetune with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "KKHYA/llavaqwen2.5-32b-finetune" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "KKHYA/llavaqwen2.5-32b-finetune", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/KKHYA/llavaqwen2.5-32b-finetune
- SGLang
How to use KKHYA/llavaqwen2.5-32b-finetune 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 "KKHYA/llavaqwen2.5-32b-finetune" \ --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": "KKHYA/llavaqwen2.5-32b-finetune", "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 "KKHYA/llavaqwen2.5-32b-finetune" \ --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": "KKHYA/llavaqwen2.5-32b-finetune", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use KKHYA/llavaqwen2.5-32b-finetune with Docker Model Runner:
docker model run hf.co/KKHYA/llavaqwen2.5-32b-finetune
Upload KKHYA/llavaqwen2.5-32b-finetune
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- checkpoint-7883/added_tokens.json +25 -0
- checkpoint-7883/config.json +47 -0
- checkpoint-7883/generation_config.json +6 -0
- checkpoint-7883/global_step7883/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt +3 -0
- checkpoint-7883/global_step7883/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt +3 -0
- checkpoint-7883/global_step7883/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt +3 -0
- checkpoint-7883/global_step7883/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt +3 -0
- checkpoint-7883/global_step7883/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt +3 -0
- checkpoint-7883/global_step7883/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt +3 -0
- checkpoint-7883/global_step7883/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt +3 -0
- checkpoint-7883/global_step7883/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt +3 -0
- checkpoint-7883/global_step7883/zero_pp_rank_0_mp_rank_00_model_states.pt +3 -0
- checkpoint-7883/global_step7883/zero_pp_rank_1_mp_rank_00_model_states.pt +3 -0
- checkpoint-7883/global_step7883/zero_pp_rank_2_mp_rank_00_model_states.pt +3 -0
- checkpoint-7883/global_step7883/zero_pp_rank_3_mp_rank_00_model_states.pt +3 -0
- checkpoint-7883/global_step7883/zero_pp_rank_4_mp_rank_00_model_states.pt +3 -0
- checkpoint-7883/global_step7883/zero_pp_rank_5_mp_rank_00_model_states.pt +3 -0
- checkpoint-7883/global_step7883/zero_pp_rank_6_mp_rank_00_model_states.pt +3 -0
- checkpoint-7883/global_step7883/zero_pp_rank_7_mp_rank_00_model_states.pt +3 -0
- checkpoint-7883/latest +1 -0
- checkpoint-7883/merges.txt +0 -0
- checkpoint-7883/model-00001-of-00014.safetensors +3 -0
- checkpoint-7883/model-00002-of-00014.safetensors +3 -0
- checkpoint-7883/model-00003-of-00014.safetensors +3 -0
- checkpoint-7883/model-00004-of-00014.safetensors +3 -0
- checkpoint-7883/model-00005-of-00014.safetensors +3 -0
- checkpoint-7883/model-00006-of-00014.safetensors +3 -0
- checkpoint-7883/model-00007-of-00014.safetensors +3 -0
- checkpoint-7883/model-00008-of-00014.safetensors +3 -0
- checkpoint-7883/model-00009-of-00014.safetensors +3 -0
- checkpoint-7883/model-00010-of-00014.safetensors +3 -0
- checkpoint-7883/model-00011-of-00014.safetensors +3 -0
- checkpoint-7883/model-00012-of-00014.safetensors +3 -0
- checkpoint-7883/model-00013-of-00014.safetensors +3 -0
- checkpoint-7883/model-00014-of-00014.safetensors +3 -0
- checkpoint-7883/model.safetensors.index.json +0 -0
- checkpoint-7883/rng_state_0.pth +3 -0
- checkpoint-7883/rng_state_1.pth +3 -0
- checkpoint-7883/rng_state_2.pth +3 -0
- checkpoint-7883/rng_state_3.pth +3 -0
- checkpoint-7883/rng_state_4.pth +3 -0
- checkpoint-7883/rng_state_5.pth +3 -0
- checkpoint-7883/rng_state_6.pth +3 -0
- checkpoint-7883/rng_state_7.pth +3 -0
- checkpoint-7883/scheduler.pt +3 -0
- checkpoint-7883/special_tokens_map.json +32 -0
- checkpoint-7883/tokenizer_config.json +217 -0
- checkpoint-7883/trainer_state.json +0 -0
- checkpoint-7883/training_args.bin +3 -0
- checkpoint-7883/vocab.json +0 -0
checkpoint-7883/added_tokens.json
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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_pad|>": 151662,
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"<|fim_prefix|>": 151659,
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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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"<|vision_pad|>": 151654,
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"<|vision_start|>": 151652
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}
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checkpoint-7883/config.json
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{
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"architectures": [
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"LlavaQwen2ForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 151643,
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"eos_token_id": 151643,
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"freeze_mm_mlp_adapter": false,
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"hidden_act": "silu",
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"hidden_size": 5120,
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"image_aspect_ratio": "pad",
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"image_projector_type": "mlp2x_gelu",
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"initializer_range": 0.02,
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"intermediate_size": 27648,
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"max_position_embeddings": 131072,
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"max_window_layers": 64,
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"mm_hidden_size": 1024,
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"mm_image_tower": "openai/clip-vit-large-patch14-336",
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"mm_projector_lr": null,
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"mm_use_im_patch_token": false,
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"mm_use_im_start_end": false,
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"mm_video_tower": null,
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"mm_vision_select_feature": "patch",
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"mm_vision_select_layer": -2,
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"model_type": "llava_qwen2",
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"num_attention_heads": 40,
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"num_hidden_layers": 64,
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"num_key_value_heads": 8,
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"pad_token_id": 151665,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 1000000.0,
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"sliding_window": 131072,
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"tie_word_embeddings": false,
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"tokenizer_padding_side": "right",
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"torch_dtype": "bfloat16",
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"transformers_version": "4.51.0",
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"tune_mm_mlp_adapter": false,
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"use_cache": false,
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"use_mm_proj": true,
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"use_sliding_window": false,
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"video_global_proj": false,
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"video_projector_type": "linear",
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"video_spatial_proj": false,
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"video_temproal_proj": false,
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"vocab_size": 152064
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}
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checkpoint-7883/generation_config.json
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{
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"bos_token_id": 151643,
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"eos_token_id": 151643,
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"max_new_tokens": 2048,
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"transformers_version": "4.51.0"
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}
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checkpoint-7883/global_step7883/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt
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size 49193024794
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checkpoint-7883/global_step7883/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt
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checkpoint-7883/global_step7883/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt
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checkpoint-7883/global_step7883/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt
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checkpoint-7883/global_step7883/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt
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checkpoint-7883/global_step7883/zero_pp_rank_0_mp_rank_00_model_states.pt
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checkpoint-7883/global_step7883/zero_pp_rank_1_mp_rank_00_model_states.pt
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checkpoint-7883/global_step7883/zero_pp_rank_3_mp_rank_00_model_states.pt
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checkpoint-7883/latest
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global_step7883
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| 53 |
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"151649": {
|
| 54 |
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"content": "<|box_end|>",
|
| 55 |
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"lstrip": false,
|
| 56 |
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"normalized": false,
|
| 57 |
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|
| 58 |
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|
| 59 |
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"special": true
|
| 60 |
+
},
|
| 61 |
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"151650": {
|
| 62 |
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"content": "<|quad_start|>",
|
| 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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"special": true
|
| 68 |
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|
| 69 |
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"151651": {
|
| 70 |
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"content": "<|quad_end|>",
|
| 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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"special": true
|
| 76 |
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|
| 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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|
| 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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"special": true
|
| 92 |
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},
|
| 93 |
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"151654": {
|
| 94 |
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"content": "<|vision_pad|>",
|
| 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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"special": true
|
| 100 |
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},
|
| 101 |
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"151655": {
|
| 102 |
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"content": "<|image_pad|>",
|
| 103 |
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"lstrip": false,
|
| 104 |
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"normalized": false,
|
| 105 |
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|
| 106 |
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"single_word": false,
|
| 107 |
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"special": true
|
| 108 |
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},
|
| 109 |
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"151656": {
|
| 110 |
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"content": "<|video_pad|>",
|
| 111 |
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|
| 112 |
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"normalized": false,
|
| 113 |
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"rstrip": false,
|
| 114 |
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"single_word": false,
|
| 115 |
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"special": true
|
| 116 |
+
},
|
| 117 |
+
"151657": {
|
| 118 |
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"content": "<tool_call>",
|
| 119 |
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"lstrip": false,
|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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},
|
| 125 |
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"151658": {
|
| 126 |
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"content": "</tool_call>",
|
| 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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"special": false
|
| 132 |
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},
|
| 133 |
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"151659": {
|
| 134 |
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"content": "<|fim_prefix|>",
|
| 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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"content": "<|fim_middle|>",
|
| 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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"special": false
|
| 148 |
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},
|
| 149 |
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"151661": {
|
| 150 |
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"content": "<|fim_suffix|>",
|
| 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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"151662": {
|
| 158 |
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"content": "<|fim_pad|>",
|
| 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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"special": false
|
| 164 |
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},
|
| 165 |
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"151663": {
|
| 166 |
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"content": "<|repo_name|>",
|
| 167 |
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|
| 168 |
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"normalized": false,
|
| 169 |
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"rstrip": false,
|
| 170 |
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|
| 171 |
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"special": false
|
| 172 |
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},
|
| 173 |
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"151664": {
|
| 174 |
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"content": "<|file_sep|>",
|
| 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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|
| 180 |
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},
|
| 181 |
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|
| 182 |
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"content": "<|extra_0|>",
|
| 183 |
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|
| 184 |
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|
| 185 |
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|
| 186 |
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|
| 187 |
+
"special": true
|
| 188 |
+
}
|
| 189 |
+
},
|
| 190 |
+
"additional_special_tokens": [
|
| 191 |
+
"<|im_start|>",
|
| 192 |
+
"<|im_end|>",
|
| 193 |
+
"<|object_ref_start|>",
|
| 194 |
+
"<|object_ref_end|>",
|
| 195 |
+
"<|box_start|>",
|
| 196 |
+
"<|box_end|>",
|
| 197 |
+
"<|quad_start|>",
|
| 198 |
+
"<|quad_end|>",
|
| 199 |
+
"<|vision_start|>",
|
| 200 |
+
"<|vision_end|>",
|
| 201 |
+
"<|vision_pad|>",
|
| 202 |
+
"<|image_pad|>",
|
| 203 |
+
"<|video_pad|>"
|
| 204 |
+
],
|
| 205 |
+
"bos_token": null,
|
| 206 |
+
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
|
| 207 |
+
"clean_up_tokenization_spaces": false,
|
| 208 |
+
"eos_token": "<|endoftext|>",
|
| 209 |
+
"errors": "replace",
|
| 210 |
+
"extra_special_tokens": {},
|
| 211 |
+
"model_max_length": 2048,
|
| 212 |
+
"pad_token": "<|extra_0|>",
|
| 213 |
+
"padding_side": "right",
|
| 214 |
+
"split_special_tokens": false,
|
| 215 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 216 |
+
"unk_token": "<|extra_0|>"
|
| 217 |
+
}
|
checkpoint-7883/trainer_state.json
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checkpoint-7883/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8f00d2d4cc4e5af0854deac2939c16f9ad2466f46ce36154242c2ad6e546d652
|
| 3 |
+
size 7928
|
checkpoint-7883/vocab.json
ADDED
|
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|