Text Generation
Transformers
Safetensors
Karachay-Balkar
Russian
English
qwen3
qarachay-malqar
caucasian-languages
turkic-languages
karachay-balkar
multilingual
trl
sft
unsloth
conversational
text-generation-inference
compressed-tensors
Instructions to use TSjB/QM-4B-AWQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TSjB/QM-4B-AWQ with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="TSjB/QM-4B-AWQ") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("TSjB/QM-4B-AWQ") model = AutoModelForCausalLM.from_pretrained("TSjB/QM-4B-AWQ", 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 TSjB/QM-4B-AWQ with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "TSjB/QM-4B-AWQ" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "TSjB/QM-4B-AWQ", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/TSjB/QM-4B-AWQ
- SGLang
How to use TSjB/QM-4B-AWQ 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 "TSjB/QM-4B-AWQ" \ --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": "TSjB/QM-4B-AWQ", "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 "TSjB/QM-4B-AWQ" \ --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": "TSjB/QM-4B-AWQ", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Unsloth Studio
How to use TSjB/QM-4B-AWQ 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 TSjB/QM-4B-AWQ 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 TSjB/QM-4B-AWQ to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for TSjB/QM-4B-AWQ to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="TSjB/QM-4B-AWQ", max_seq_length=2048, ) - Docker Model Runner
How to use TSjB/QM-4B-AWQ with Docker Model Runner:
docker model run hf.co/TSjB/QM-4B-AWQ
upload with packed int4 AWQ (2.37 GB)
Browse files- .gitattributes +1 -0
- chat_template.jinja +61 -0
- config.json +106 -0
- generation_config.json +14 -0
- model.safetensors +3 -0
- recipe.yaml +22 -0
- special_tokens_map.json +31 -0
- tokenizer.json +3 -0
- tokenizer_config.json +142 -0
.gitattributes
CHANGED
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip 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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*.zip 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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chat_template.jinja
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@@ -0,0 +1,61 @@
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| 1 |
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{%- if tools %}
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| 2 |
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{{- '<|im_start|>system\n' }}
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| 3 |
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{%- if messages[0].role == 'system' %}
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| 4 |
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{{- messages[0].content + '\n\n' }}
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| 5 |
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{%- endif %}
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| 6 |
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{{- "# 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>" }}
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| 7 |
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{%- for tool in tools %}
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| 8 |
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{{- "\n" }}
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| 9 |
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\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" }}
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| 12 |
+
{%- else %}
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| 13 |
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{%- if messages[0].role == 'system' %}
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{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
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| 15 |
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{%- endif %}
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| 16 |
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{%- endif %}
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| 17 |
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{%- for message in messages %}
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| 18 |
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{%- if message.content is string %}
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| 19 |
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{%- set content = message.content %}
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| 20 |
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{%- else %}
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{%- set content = '' %}
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{%- endif %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
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| 24 |
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{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
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| 25 |
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{%- elif message.role == "assistant" %}
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| 26 |
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- if message.tool_calls %}
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{%- for tool_call in message.tool_calls %}
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{%- if (loop.first and content) or (not loop.first) %}
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{{- '\n' }}
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{%- endif %}
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{%- if tool_call.function %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{%- if tool_call.arguments is string %}
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{{- tool_call.arguments }}
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{%- else %}
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{{- tool_call.arguments | tojson }}
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{%- endif %}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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{%- endif %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "tool" %}
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{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|im_start|>user' }}
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{%- endif %}
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{{- '\n<tool_response>\n' }}
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{{- content }}
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{{- '\n</tool_response>' }}
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
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{{- '<|im_start|>assistant\n' }}
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{%- endif %}
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config.json
ADDED
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@@ -0,0 +1,106 @@
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{
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| 2 |
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"architectures": [
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"Qwen3ForCausalLM"
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+
],
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| 5 |
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"attention_bias": false,
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| 6 |
+
"attention_dropout": 0.0,
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| 7 |
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"dtype": "bfloat16",
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| 8 |
+
"eos_token_id": 1,
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| 9 |
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"head_dim": 128,
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| 10 |
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"hidden_act": "silu",
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| 11 |
+
"hidden_size": 2560,
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| 12 |
+
"initializer_range": 0.02,
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| 13 |
+
"intermediate_size": 9728,
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| 14 |
+
"layer_types": [
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"full_attention",
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"full_attention",
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"full_attention",
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| 18 |
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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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| 27 |
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"full_attention",
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| 28 |
+
"full_attention",
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| 29 |
+
"full_attention",
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| 30 |
+
"full_attention",
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| 31 |
+
"full_attention",
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| 32 |
+
"full_attention",
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| 33 |
+
"full_attention",
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| 34 |
+
"full_attention",
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| 35 |
+
"full_attention",
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| 36 |
+
"full_attention",
|
| 37 |
+
"full_attention",
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| 38 |
+
"full_attention",
|
| 39 |
+
"full_attention",
|
| 40 |
+
"full_attention",
|
| 41 |
+
"full_attention",
|
| 42 |
+
"full_attention",
|
| 43 |
+
"full_attention",
|
| 44 |
+
"full_attention",
|
| 45 |
+
"full_attention",
|
| 46 |
+
"full_attention",
|
| 47 |
+
"full_attention",
|
| 48 |
+
"full_attention",
|
| 49 |
+
"full_attention",
|
| 50 |
+
"full_attention"
|
| 51 |
+
],
|
| 52 |
+
"max_position_embeddings": 262144,
|
| 53 |
+
"max_window_layers": 36,
|
| 54 |
+
"model_type": "qwen3",
|
| 55 |
+
"num_attention_heads": 32,
|
| 56 |
+
"num_hidden_layers": 36,
|
| 57 |
+
"num_key_value_heads": 8,
|
| 58 |
+
"pad_token_id": 130000,
|
| 59 |
+
"quantization_config": {
|
| 60 |
+
"config_groups": {
|
| 61 |
+
"group_0": {
|
| 62 |
+
"format": "pack-quantized",
|
| 63 |
+
"input_activations": null,
|
| 64 |
+
"output_activations": null,
|
| 65 |
+
"targets": [
|
| 66 |
+
"Linear"
|
| 67 |
+
],
|
| 68 |
+
"weights": {
|
| 69 |
+
"actorder": null,
|
| 70 |
+
"block_structure": null,
|
| 71 |
+
"dynamic": false,
|
| 72 |
+
"group_size": 128,
|
| 73 |
+
"num_bits": 4,
|
| 74 |
+
"observer": "memoryless_minmax",
|
| 75 |
+
"observer_kwargs": {},
|
| 76 |
+
"scale_dtype": null,
|
| 77 |
+
"strategy": "group",
|
| 78 |
+
"symmetric": true,
|
| 79 |
+
"type": "int",
|
| 80 |
+
"zp_dtype": null
|
| 81 |
+
}
|
| 82 |
+
}
|
| 83 |
+
},
|
| 84 |
+
"format": "pack-quantized",
|
| 85 |
+
"global_compression_ratio": null,
|
| 86 |
+
"ignore": [
|
| 87 |
+
"lm_head"
|
| 88 |
+
],
|
| 89 |
+
"kv_cache_scheme": null,
|
| 90 |
+
"quant_method": "compressed-tensors",
|
| 91 |
+
"quantization_status": "compressed",
|
| 92 |
+
"sparsity_config": {},
|
| 93 |
+
"transform_config": {},
|
| 94 |
+
"version": "0.14.0.1"
|
| 95 |
+
},
|
| 96 |
+
"rms_norm_eps": 1e-06,
|
| 97 |
+
"rope_scaling": null,
|
| 98 |
+
"rope_theta": 5000000,
|
| 99 |
+
"sliding_window": null,
|
| 100 |
+
"tie_word_embeddings": true,
|
| 101 |
+
"transformers_version": "4.57.6",
|
| 102 |
+
"unsloth_version": "2026.1.3",
|
| 103 |
+
"use_cache": true,
|
| 104 |
+
"use_sliding_window": false,
|
| 105 |
+
"vocab_size": 130001
|
| 106 |
+
}
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generation_config.json
ADDED
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@@ -0,0 +1,14 @@
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{
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| 2 |
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"do_sample": true,
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| 3 |
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"eos_token_id": [
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| 4 |
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1,
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| 5 |
+
151645,
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| 6 |
+
151643
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| 7 |
+
],
|
| 8 |
+
"max_length": 262144,
|
| 9 |
+
"pad_token_id": 130000,
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| 10 |
+
"temperature": 0.7,
|
| 11 |
+
"top_k": 20,
|
| 12 |
+
"top_p": 0.8,
|
| 13 |
+
"transformers_version": "4.57.6"
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| 14 |
+
}
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model.safetensors
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:25956c14dbf36ee76015f15f4ede53cec57f75187b280275312ecd485694ff59
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| 3 |
+
size 2539532368
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recipe.yaml
ADDED
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@@ -0,0 +1,22 @@
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default_stage:
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| 2 |
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default_modifiers:
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| 3 |
+
AWQModifier:
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| 4 |
+
targets: [Linear]
|
| 5 |
+
ignore: [lm_head]
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| 6 |
+
scheme: W4A16
|
| 7 |
+
bypass_divisibility_checks: false
|
| 8 |
+
mappings:
|
| 9 |
+
- smooth_layer: re:.*input_layernorm$
|
| 10 |
+
balance_layers: ['re:.*q_proj$', 're:.*k_proj$', 're:.*v_proj$']
|
| 11 |
+
activation_hook_target: null
|
| 12 |
+
- smooth_layer: re:.*v_proj$
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| 13 |
+
balance_layers: ['re:.*o_proj$']
|
| 14 |
+
activation_hook_target: null
|
| 15 |
+
- smooth_layer: re:.*post_attention_layernorm$
|
| 16 |
+
balance_layers: ['re:.*gate_proj$', 're:.*up_proj$']
|
| 17 |
+
activation_hook_target: null
|
| 18 |
+
- smooth_layer: re:.*up_proj$
|
| 19 |
+
balance_layers: ['re:.*down_proj$']
|
| 20 |
+
activation_hook_target: null
|
| 21 |
+
duo_scaling: true
|
| 22 |
+
n_grid: 20
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
+
"<|im_end|>",
|
| 5 |
+
"<|object_ref_start|>",
|
| 6 |
+
"<|object_ref_end|>",
|
| 7 |
+
"<|box_start|>",
|
| 8 |
+
"<|box_end|>",
|
| 9 |
+
"<|quad_start|>",
|
| 10 |
+
"<|quad_end|>",
|
| 11 |
+
"<|vision_start|>",
|
| 12 |
+
"<|vision_end|>",
|
| 13 |
+
"<|vision_pad|>",
|
| 14 |
+
"<|image_pad|>",
|
| 15 |
+
"<|video_pad|>"
|
| 16 |
+
],
|
| 17 |
+
"eos_token": {
|
| 18 |
+
"content": "<|im_end|>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
},
|
| 24 |
+
"pad_token": {
|
| 25 |
+
"content": "<|endoftext|>",
|
| 26 |
+
"lstrip": false,
|
| 27 |
+
"normalized": false,
|
| 28 |
+
"rstrip": false,
|
| 29 |
+
"single_word": false
|
| 30 |
+
}
|
| 31 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:65b3b7104798419d635ed6506e08380e30a23aca9c950fbdcb4756479ac82765
|
| 3 |
+
size 15158348
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,142 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"0": {
|
| 5 |
+
"content": "<|im_start|>",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": false,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"1": {
|
| 13 |
+
"content": "<|im_end|>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": false,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"2": {
|
| 21 |
+
"content": "<|object_ref_start|>",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": false,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
},
|
| 28 |
+
"3": {
|
| 29 |
+
"content": "<|object_ref_end|>",
|
| 30 |
+
"lstrip": false,
|
| 31 |
+
"normalized": false,
|
| 32 |
+
"rstrip": false,
|
| 33 |
+
"single_word": false,
|
| 34 |
+
"special": true
|
| 35 |
+
},
|
| 36 |
+
"4": {
|
| 37 |
+
"content": "<|box_start|>",
|
| 38 |
+
"lstrip": false,
|
| 39 |
+
"normalized": false,
|
| 40 |
+
"rstrip": false,
|
| 41 |
+
"single_word": false,
|
| 42 |
+
"special": true
|
| 43 |
+
},
|
| 44 |
+
"5": {
|
| 45 |
+
"content": "<|box_end|>",
|
| 46 |
+
"lstrip": false,
|
| 47 |
+
"normalized": false,
|
| 48 |
+
"rstrip": false,
|
| 49 |
+
"single_word": false,
|
| 50 |
+
"special": true
|
| 51 |
+
},
|
| 52 |
+
"6": {
|
| 53 |
+
"content": "<|quad_start|>",
|
| 54 |
+
"lstrip": false,
|
| 55 |
+
"normalized": false,
|
| 56 |
+
"rstrip": false,
|
| 57 |
+
"single_word": false,
|
| 58 |
+
"special": true
|
| 59 |
+
},
|
| 60 |
+
"7": {
|
| 61 |
+
"content": "<|quad_end|>",
|
| 62 |
+
"lstrip": false,
|
| 63 |
+
"normalized": false,
|
| 64 |
+
"rstrip": false,
|
| 65 |
+
"single_word": false,
|
| 66 |
+
"special": true
|
| 67 |
+
},
|
| 68 |
+
"8": {
|
| 69 |
+
"content": "<|vision_start|>",
|
| 70 |
+
"lstrip": false,
|
| 71 |
+
"normalized": false,
|
| 72 |
+
"rstrip": false,
|
| 73 |
+
"single_word": false,
|
| 74 |
+
"special": true
|
| 75 |
+
},
|
| 76 |
+
"9": {
|
| 77 |
+
"content": "<|vision_end|>",
|
| 78 |
+
"lstrip": false,
|
| 79 |
+
"normalized": false,
|
| 80 |
+
"rstrip": false,
|
| 81 |
+
"single_word": false,
|
| 82 |
+
"special": true
|
| 83 |
+
},
|
| 84 |
+
"10": {
|
| 85 |
+
"content": "<|vision_pad|>",
|
| 86 |
+
"lstrip": false,
|
| 87 |
+
"normalized": false,
|
| 88 |
+
"rstrip": false,
|
| 89 |
+
"single_word": false,
|
| 90 |
+
"special": true
|
| 91 |
+
},
|
| 92 |
+
"11": {
|
| 93 |
+
"content": "<|image_pad|>",
|
| 94 |
+
"lstrip": false,
|
| 95 |
+
"normalized": false,
|
| 96 |
+
"rstrip": false,
|
| 97 |
+
"single_word": false,
|
| 98 |
+
"special": true
|
| 99 |
+
},
|
| 100 |
+
"12": {
|
| 101 |
+
"content": "<|video_pad|>",
|
| 102 |
+
"lstrip": false,
|
| 103 |
+
"normalized": false,
|
| 104 |
+
"rstrip": false,
|
| 105 |
+
"single_word": false,
|
| 106 |
+
"special": true
|
| 107 |
+
},
|
| 108 |
+
"130000": {
|
| 109 |
+
"content": "<|endoftext|>",
|
| 110 |
+
"lstrip": false,
|
| 111 |
+
"normalized": false,
|
| 112 |
+
"rstrip": false,
|
| 113 |
+
"single_word": false,
|
| 114 |
+
"special": true
|
| 115 |
+
}
|
| 116 |
+
},
|
| 117 |
+
"additional_special_tokens": [
|
| 118 |
+
"<|im_start|>",
|
| 119 |
+
"<|im_end|>",
|
| 120 |
+
"<|object_ref_start|>",
|
| 121 |
+
"<|object_ref_end|>",
|
| 122 |
+
"<|box_start|>",
|
| 123 |
+
"<|box_end|>",
|
| 124 |
+
"<|quad_start|>",
|
| 125 |
+
"<|quad_end|>",
|
| 126 |
+
"<|vision_start|>",
|
| 127 |
+
"<|vision_end|>",
|
| 128 |
+
"<|vision_pad|>",
|
| 129 |
+
"<|image_pad|>",
|
| 130 |
+
"<|video_pad|>"
|
| 131 |
+
],
|
| 132 |
+
"bos_token": null,
|
| 133 |
+
"clean_up_tokenization_spaces": false,
|
| 134 |
+
"eos_token": "<|im_end|>",
|
| 135 |
+
"errors": "replace",
|
| 136 |
+
"extra_special_tokens": {},
|
| 137 |
+
"model_max_length": 2048,
|
| 138 |
+
"pad_token": "<|endoftext|>",
|
| 139 |
+
"padding_side": "right",
|
| 140 |
+
"tokenizer_class": "PreTrainedTokenizerFast",
|
| 141 |
+
"unk_token": null
|
| 142 |
+
}
|