Text Generation
Transformers
Safetensors
qwen3
conversational
text-generation-inference
8-bit precision
compressed-tensors
Instructions to use medimed/MNLP_M2_quantized_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use medimed/MNLP_M2_quantized_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="medimed/MNLP_M2_quantized_model") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("medimed/MNLP_M2_quantized_model") model = AutoModelForCausalLM.from_pretrained("medimed/MNLP_M2_quantized_model") 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 medimed/MNLP_M2_quantized_model with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "medimed/MNLP_M2_quantized_model" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "medimed/MNLP_M2_quantized_model", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/medimed/MNLP_M2_quantized_model
- SGLang
How to use medimed/MNLP_M2_quantized_model 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 "medimed/MNLP_M2_quantized_model" \ --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": "medimed/MNLP_M2_quantized_model", "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 "medimed/MNLP_M2_quantized_model" \ --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": "medimed/MNLP_M2_quantized_model", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use medimed/MNLP_M2_quantized_model with Docker Model Runner:
docker model run hf.co/medimed/MNLP_M2_quantized_model
Upload tokenizer
Browse files- chat_template.jinja +83 -24
- special_tokens_map.json +1 -1
- tokenizer.json +2 -2
- tokenizer_config.json +5 -1
chat_template.jinja
CHANGED
|
@@ -1,30 +1,63 @@
|
|
|
|
|
| 1 |
{%- if tools %}
|
| 2 |
-
{{- '<|im_start|>system
|
|
|
|
| 3 |
{%- if messages[0].role == 'system' %}
|
| 4 |
-
{{- messages[0].content + '
|
|
|
|
|
|
|
| 5 |
{%- endif %}
|
| 6 |
-
{{- "# Tools
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 7 |
{%- for tool in tools %}
|
| 8 |
-
{{- "
|
|
|
|
| 9 |
{{- tool | tojson }}
|
| 10 |
{%- endfor %}
|
| 11 |
-
{{- "
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 12 |
{%- else %}
|
| 13 |
{%- if messages[0].role == 'system' %}
|
| 14 |
-
{{- '<|im_start|>system
|
|
|
|
|
|
|
| 15 |
{%- endif %}
|
| 16 |
{%- endif %}
|
| 17 |
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 18 |
-
{%- for
|
| 19 |
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 20 |
-
{%-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 21 |
{%- set ns.multi_step_tool = false %}
|
| 22 |
{%- set ns.last_query_index = index %}
|
| 23 |
{%- endif %}
|
| 24 |
{%- endfor %}
|
| 25 |
{%- for message in messages %}
|
| 26 |
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
|
| 27 |
-
{{- '<|im_start|>' + message.role + '
|
|
|
|
|
|
|
| 28 |
{%- elif message.role == "assistant" %}
|
| 29 |
{%- set content = message.content %}
|
| 30 |
{%- set reasoning_content = '' %}
|
|
@@ -32,28 +65,43 @@
|
|
| 32 |
{%- set reasoning_content = message.reasoning_content %}
|
| 33 |
{%- else %}
|
| 34 |
{%- if '</think>' in message.content %}
|
| 35 |
-
{%- set content = message.content.split('</think>')
|
| 36 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
| 37 |
{%- endif %}
|
| 38 |
{%- endif %}
|
| 39 |
{%- if loop.index0 > ns.last_query_index %}
|
| 40 |
{%- if loop.last or (not loop.last and reasoning_content) %}
|
| 41 |
-
{{- '<|im_start|>' + message.role + '
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 42 |
{%- else %}
|
| 43 |
-
{{- '<|im_start|>' + message.role + '
|
|
|
|
| 44 |
{%- endif %}
|
| 45 |
{%- else %}
|
| 46 |
-
{{- '<|im_start|>' + message.role + '
|
|
|
|
| 47 |
{%- endif %}
|
| 48 |
{%- if message.tool_calls %}
|
| 49 |
{%- for tool_call in message.tool_calls %}
|
| 50 |
{%- if (loop.first and content) or (not loop.first) %}
|
| 51 |
-
{{- '
|
|
|
|
| 52 |
{%- endif %}
|
| 53 |
{%- if tool_call.function %}
|
| 54 |
{%- set tool_call = tool_call.function %}
|
| 55 |
{%- endif %}
|
| 56 |
-
{{- '<tool_call>
|
|
|
|
| 57 |
{{- tool_call.name }}
|
| 58 |
{{- '", "arguments": ' }}
|
| 59 |
{%- if tool_call.arguments is string %}
|
|
@@ -61,25 +109,36 @@
|
|
| 61 |
{%- else %}
|
| 62 |
{{- tool_call.arguments | tojson }}
|
| 63 |
{%- endif %}
|
| 64 |
-
{{- '}
|
|
|
|
| 65 |
{%- endfor %}
|
| 66 |
{%- endif %}
|
| 67 |
-
{{- '<|im_end|>
|
|
|
|
| 68 |
{%- elif message.role == "tool" %}
|
| 69 |
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
| 70 |
{{- '<|im_start|>user' }}
|
| 71 |
{%- endif %}
|
| 72 |
-
{{- '
|
|
|
|
|
|
|
| 73 |
{{- message.content }}
|
| 74 |
-
{{- '
|
|
|
|
| 75 |
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 76 |
-
{{- '<|im_end|>
|
|
|
|
| 77 |
{%- endif %}
|
| 78 |
{%- endif %}
|
| 79 |
{%- endfor %}
|
| 80 |
{%- if add_generation_prompt %}
|
| 81 |
-
{{- '<|im_start|>assistant
|
|
|
|
| 82 |
{%- if enable_thinking is defined and enable_thinking is false %}
|
| 83 |
-
{{- '<think>
|
|
|
|
|
|
|
|
|
|
|
|
|
| 84 |
{%- endif %}
|
| 85 |
-
{%- endif %}
|
|
|
|
| 1 |
+
|
| 2 |
{%- if tools %}
|
| 3 |
+
{{- '<|im_start|>system
|
| 4 |
+
' }}
|
| 5 |
{%- if messages[0].role == 'system' %}
|
| 6 |
+
{{- messages[0].content + '
|
| 7 |
+
|
| 8 |
+
' }}
|
| 9 |
{%- endif %}
|
| 10 |
+
{{- "# Tools
|
| 11 |
+
|
| 12 |
+
You may call one or more functions to assist with the user query.
|
| 13 |
+
|
| 14 |
+
You are provided with function signatures within <tools></tools> XML tags:
|
| 15 |
+
<tools>" }}
|
| 16 |
{%- for tool in tools %}
|
| 17 |
+
{{- "
|
| 18 |
+
" }}
|
| 19 |
{{- tool | tojson }}
|
| 20 |
{%- endfor %}
|
| 21 |
+
{{- "
|
| 22 |
+
</tools>
|
| 23 |
+
|
| 24 |
+
For each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:
|
| 25 |
+
<tool_call>
|
| 26 |
+
{\"name\": <function-name>, \"arguments\": <args-json-object>}
|
| 27 |
+
</tool_call><|im_end|>
|
| 28 |
+
" }}
|
| 29 |
{%- else %}
|
| 30 |
{%- if messages[0].role == 'system' %}
|
| 31 |
+
{{- '<|im_start|>system
|
| 32 |
+
' + messages[0].content + '<|im_end|>
|
| 33 |
+
' }}
|
| 34 |
{%- endif %}
|
| 35 |
{%- endif %}
|
| 36 |
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 37 |
+
{%- for forward_message in messages %}
|
| 38 |
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 39 |
+
{%- set message = messages[index] %}
|
| 40 |
+
{%- set current_content = message.content if message.content is not none else '' %}
|
| 41 |
+
{%- set tool_start = '<tool_response>' %}
|
| 42 |
+
{%- set tool_start_length = tool_start|length %}
|
| 43 |
+
{%- set start_of_message = current_content[:tool_start_length] %}
|
| 44 |
+
{%- set tool_end = '</tool_response>' %}
|
| 45 |
+
{%- set tool_end_length = tool_end|length %}
|
| 46 |
+
{%- set start_pos = (current_content|length) - tool_end_length %}
|
| 47 |
+
{%- if start_pos < 0 %}
|
| 48 |
+
{%- set start_pos = 0 %}
|
| 49 |
+
{%- endif %}
|
| 50 |
+
{%- set end_of_message = current_content[start_pos:] %}
|
| 51 |
+
{%- if ns.multi_step_tool and message.role == "user" and not(start_of_message == tool_start and end_of_message == tool_end) %}
|
| 52 |
{%- set ns.multi_step_tool = false %}
|
| 53 |
{%- set ns.last_query_index = index %}
|
| 54 |
{%- endif %}
|
| 55 |
{%- endfor %}
|
| 56 |
{%- for message in messages %}
|
| 57 |
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
|
| 58 |
+
{{- '<|im_start|>' + message.role + '
|
| 59 |
+
' + message.content + '<|im_end|>' + '
|
| 60 |
+
' }}
|
| 61 |
{%- elif message.role == "assistant" %}
|
| 62 |
{%- set content = message.content %}
|
| 63 |
{%- set reasoning_content = '' %}
|
|
|
|
| 65 |
{%- set reasoning_content = message.reasoning_content %}
|
| 66 |
{%- else %}
|
| 67 |
{%- if '</think>' in message.content %}
|
| 68 |
+
{%- set content = (message.content.split('</think>')|last).lstrip('
|
| 69 |
+
') %}
|
| 70 |
+
{%- set reasoning_content = (message.content.split('</think>')|first).rstrip('
|
| 71 |
+
') %}
|
| 72 |
+
{%- set reasoning_content = (reasoning_content.split('<think>')|last).lstrip('
|
| 73 |
+
') %}
|
| 74 |
{%- endif %}
|
| 75 |
{%- endif %}
|
| 76 |
{%- if loop.index0 > ns.last_query_index %}
|
| 77 |
{%- if loop.last or (not loop.last and reasoning_content) %}
|
| 78 |
+
{{- '<|im_start|>' + message.role + '
|
| 79 |
+
<think>
|
| 80 |
+
' + reasoning_content.strip('
|
| 81 |
+
') + '
|
| 82 |
+
</think>
|
| 83 |
+
|
| 84 |
+
' + content.lstrip('
|
| 85 |
+
') }}
|
| 86 |
{%- else %}
|
| 87 |
+
{{- '<|im_start|>' + message.role + '
|
| 88 |
+
' + content }}
|
| 89 |
{%- endif %}
|
| 90 |
{%- else %}
|
| 91 |
+
{{- '<|im_start|>' + message.role + '
|
| 92 |
+
' + content }}
|
| 93 |
{%- endif %}
|
| 94 |
{%- if message.tool_calls %}
|
| 95 |
{%- for tool_call in message.tool_calls %}
|
| 96 |
{%- if (loop.first and content) or (not loop.first) %}
|
| 97 |
+
{{- '
|
| 98 |
+
' }}
|
| 99 |
{%- endif %}
|
| 100 |
{%- if tool_call.function %}
|
| 101 |
{%- set tool_call = tool_call.function %}
|
| 102 |
{%- endif %}
|
| 103 |
+
{{- '<tool_call>
|
| 104 |
+
{"name": "' }}
|
| 105 |
{{- tool_call.name }}
|
| 106 |
{{- '", "arguments": ' }}
|
| 107 |
{%- if tool_call.arguments is string %}
|
|
|
|
| 109 |
{%- else %}
|
| 110 |
{{- tool_call.arguments | tojson }}
|
| 111 |
{%- endif %}
|
| 112 |
+
{{- '}
|
| 113 |
+
</tool_call>' }}
|
| 114 |
{%- endfor %}
|
| 115 |
{%- endif %}
|
| 116 |
+
{{- '<|im_end|>
|
| 117 |
+
' }}
|
| 118 |
{%- elif message.role == "tool" %}
|
| 119 |
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
| 120 |
{{- '<|im_start|>user' }}
|
| 121 |
{%- endif %}
|
| 122 |
+
{{- '
|
| 123 |
+
<tool_response>
|
| 124 |
+
' }}
|
| 125 |
{{- message.content }}
|
| 126 |
+
{{- '
|
| 127 |
+
</tool_response>' }}
|
| 128 |
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 129 |
+
{{- '<|im_end|>
|
| 130 |
+
' }}
|
| 131 |
{%- endif %}
|
| 132 |
{%- endif %}
|
| 133 |
{%- endfor %}
|
| 134 |
{%- if add_generation_prompt %}
|
| 135 |
+
{{- '<|im_start|>assistant
|
| 136 |
+
' }}
|
| 137 |
{%- if enable_thinking is defined and enable_thinking is false %}
|
| 138 |
+
{{- '<think>
|
| 139 |
+
|
| 140 |
+
</think>
|
| 141 |
+
|
| 142 |
+
' }}
|
| 143 |
{%- endif %}
|
| 144 |
+
{%- endif %}
|
special_tokens_map.json
CHANGED
|
@@ -22,7 +22,7 @@
|
|
| 22 |
"single_word": false
|
| 23 |
},
|
| 24 |
"pad_token": {
|
| 25 |
-
"content": "<|
|
| 26 |
"lstrip": false,
|
| 27 |
"normalized": false,
|
| 28 |
"rstrip": false,
|
|
|
|
| 22 |
"single_word": false
|
| 23 |
},
|
| 24 |
"pad_token": {
|
| 25 |
+
"content": "<|vision_pad|>",
|
| 26 |
"lstrip": false,
|
| 27 |
"normalized": false,
|
| 28 |
"rstrip": false,
|
tokenizer.json
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c0acdaba32b920d640afb36af4396c91974e074735636e4016d17a8ed9c03730
|
| 3 |
+
size 11422753
|
tokenizer_config.json
CHANGED
|
@@ -231,10 +231,14 @@
|
|
| 231 |
"eos_token": "<|endoftext|>",
|
| 232 |
"errors": "replace",
|
| 233 |
"extra_special_tokens": {},
|
|
|
|
| 234 |
"model_max_length": 512,
|
| 235 |
-
"pad_token": "<|
|
| 236 |
"padding_side": "left",
|
| 237 |
"split_special_tokens": false,
|
|
|
|
| 238 |
"tokenizer_class": "Qwen2Tokenizer",
|
|
|
|
|
|
|
| 239 |
"unk_token": null
|
| 240 |
}
|
|
|
|
| 231 |
"eos_token": "<|endoftext|>",
|
| 232 |
"errors": "replace",
|
| 233 |
"extra_special_tokens": {},
|
| 234 |
+
"max_length": 2048,
|
| 235 |
"model_max_length": 512,
|
| 236 |
+
"pad_token": "<|vision_pad|>",
|
| 237 |
"padding_side": "left",
|
| 238 |
"split_special_tokens": false,
|
| 239 |
+
"stride": 0,
|
| 240 |
"tokenizer_class": "Qwen2Tokenizer",
|
| 241 |
+
"truncation_side": "right",
|
| 242 |
+
"truncation_strategy": "longest_first",
|
| 243 |
"unk_token": null
|
| 244 |
}
|