Add files using upload-large-folder tool
Browse files- .gitattributes +1 -0
- README.md +40 -0
- chat_template.jinja +117 -0
- config.json +889 -0
- generation_config.json +12 -0
- model-00001-of-00009.safetensors +3 -0
- model-00002-of-00009.safetensors +3 -0
- model-00003-of-00009.safetensors +3 -0
- model-00004-of-00009.safetensors +3 -0
- model-00005-of-00009.safetensors +3 -0
- model-00006-of-00009.safetensors +3 -0
- model-00007-of-00009.safetensors +3 -0
- model-00008-of-00009.safetensors +3 -0
- model-00009-of-00009.safetensors +3 -0
- model.safetensors.index.json +0 -0
- tokenizer.json +3 -0
- tokenizer_config.json +15 -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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README.md
ADDED
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@@ -0,0 +1,40 @@
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---
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library_name: mlx
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tags:
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- compression
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- expert-merging
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- moe
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- code
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- mlx
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license: apache-2.0
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base_model: SamsungSAILMontreal/Qwen3-Coder-Next-REAP
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pipeline_tag: text-generation
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---
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# jedisct1/Qwen3-Coder-Next-REAP-q5-mlx
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This model [jedisct1/Qwen3-Coder-Next-REAP-q5-mlx](https://huggingface.co/jedisct1/Qwen3-Coder-Next-REAP-q5-mlx) was
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converted to MLX format from [SamsungSAILMontreal/Qwen3-Coder-Next-REAP](https://huggingface.co/SamsungSAILMontreal/Qwen3-Coder-Next-REAP)
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using mlx-lm version **0.30.7**.
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## Use with mlx
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```bash
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pip install mlx-lm
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```
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```python
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from mlx_lm import load, generate
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model, tokenizer = load("jedisct1/Qwen3-Coder-Next-REAP-q5-mlx")
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prompt = "hello"
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if tokenizer.chat_template is not None:
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messages = [{"role": "user", "content": prompt}]
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prompt = tokenizer.apply_chat_template(
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messages, add_generation_prompt=True, return_dict=False,
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)
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response = generate(model, tokenizer, prompt=prompt, verbose=True)
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```
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chat_template.jinja
ADDED
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@@ -0,0 +1,117 @@
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{% macro render_extra_keys(json_dict, handled_keys) %}
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{%- if json_dict is mapping %}
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{%- for json_key in json_dict if json_key not in handled_keys %}
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{%- if json_dict[json_key] is string %}
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{{-'\n<' ~ json_key ~ '>' ~ (json_dict[json_key] | string) ~ '</' ~ json_key ~ '>' }}
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{%- else %}
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{{- '\n<' ~ json_key ~ '>' ~ (json_dict[json_key] | tojson | safe) ~ '</' ~ json_key ~ '>' }}
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{%- endif %}
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{%- endfor %}
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{%- endif %}
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{%- endmacro %}
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{%- if messages[0]["role"] == "system" %}
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{%- set system_message = messages[0]["content"] %}
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{%- set loop_messages = messages[1:] %}
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{%- else %}
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{%- set loop_messages = messages %}
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{%- endif %}
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{%- if not tools is defined %}
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{%- set tools = [] %}
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{%- endif %}
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{%- if system_message is defined %}
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{{- "<|im_start|>system\n" + system_message }}
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{%- else %}
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{%- if tools is iterable and tools | length > 0 %}
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{{- "<|im_start|>system\nYou are Qwen, a helpful AI assistant that can interact with a computer to solve tasks." }}
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{%- endif %}
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{%- endif %}
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{%- if tools is iterable and tools | length > 0 %}
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{{- "\n\n# Tools\n\nYou have access to the following functions:\n\n" }}
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{{- "<tools>" }}
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{%- for tool in tools %}
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{%- if tool.function is defined %}
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{%- set tool = tool.function %}
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{%- endif %}
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{{- "\n<function>\n<name>" ~ tool.name ~ "</name>" }}
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{%- if tool.description is defined %}
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{{- '\n<description>' ~ (tool.description | trim) ~ '</description>' }}
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{%- endif %}
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{{- '\n<parameters>' }}
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{%- if tool.parameters is defined and tool.parameters is mapping and tool.parameters.properties is defined and tool.parameters.properties is mapping %}
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{%- for param_name, param_fields in tool.parameters.properties|items %}
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{{- '\n<parameter>' }}
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{{- '\n<name>' ~ param_name ~ '</name>' }}
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{%- if param_fields.type is defined %}
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| 48 |
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{{- '\n<type>' ~ (param_fields.type | string) ~ '</type>' }}
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| 49 |
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{%- endif %}
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| 50 |
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{%- if param_fields.description is defined %}
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| 51 |
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{{- '\n<description>' ~ (param_fields.description | trim) ~ '</description>' }}
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| 52 |
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{%- endif %}
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| 53 |
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{%- set handled_keys = ['name', 'type', 'description'] %}
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| 54 |
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{{- render_extra_keys(param_fields, handled_keys) }}
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| 55 |
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{{- '\n</parameter>' }}
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| 56 |
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{%- endfor %}
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| 57 |
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{%- endif %}
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| 58 |
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{%- set handled_keys = ['type', 'properties'] %}
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| 59 |
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{{- render_extra_keys(tool.parameters, handled_keys) }}
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| 60 |
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{{- '\n</parameters>' }}
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| 61 |
+
{%- set handled_keys = ['type', 'name', 'description', 'parameters'] %}
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| 62 |
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{{- render_extra_keys(tool, handled_keys) }}
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| 63 |
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{{- '\n</function>' }}
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| 64 |
+
{%- endfor %}
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| 65 |
+
{{- "\n</tools>" }}
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| 66 |
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{{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
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| 67 |
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{%- endif %}
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| 68 |
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{%- if system_message is defined %}
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| 69 |
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{{- '<|im_end|>\n' }}
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| 70 |
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{%- else %}
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| 71 |
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{%- if tools is iterable and tools | length > 0 %}
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| 72 |
+
{{- '<|im_end|>\n' }}
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| 73 |
+
{%- endif %}
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| 74 |
+
{%- endif %}
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| 75 |
+
{%- for message in loop_messages %}
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| 76 |
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{%- if message.role == "assistant" and message.tool_calls is defined and message.tool_calls is iterable and message.tool_calls | length > 0 %}
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| 77 |
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{{- '<|im_start|>' + message.role }}
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| 78 |
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{%- if message.content is defined and message.content is string and message.content | trim | length > 0 %}
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| 79 |
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{{- '\n' + message.content | trim + '\n' }}
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| 80 |
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{%- endif %}
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| 81 |
+
{%- for tool_call in message.tool_calls %}
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| 82 |
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{%- if tool_call.function is defined %}
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| 83 |
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{%- set tool_call = tool_call.function %}
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| 84 |
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{%- endif %}
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| 85 |
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{{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
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| 86 |
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{%- if tool_call.arguments is defined %}
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| 87 |
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{%- for args_name, args_value in tool_call.arguments|items %}
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| 88 |
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{{- '<parameter=' + args_name + '>\n' }}
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| 89 |
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{%- set args_value = args_value if args_value is string else args_value | tojson | safe %}
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| 90 |
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{{- args_value }}
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| 91 |
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{{- '\n</parameter>\n' }}
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| 92 |
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{%- endfor %}
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| 93 |
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{%- endif %}
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| 94 |
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{{- '</function>\n</tool_call>' }}
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| 95 |
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{%- endfor %}
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| 96 |
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{{- '<|im_end|>\n' }}
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| 97 |
+
{%- elif message.role == "user" or message.role == "system" or message.role == "assistant" %}
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| 98 |
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{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
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| 99 |
+
{%- elif message.role == "tool" %}
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| 100 |
+
{%- if loop.previtem and loop.previtem.role != "tool" %}
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| 101 |
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{{- '<|im_start|>user' }}
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| 102 |
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{%- endif %}
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| 103 |
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{{- '\n<tool_response>\n' }}
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| 104 |
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{{- message.content }}
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| 105 |
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{{- '\n</tool_response>' }}
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| 106 |
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{%- if not loop.last and loop.nextitem.role != "tool" %}
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| 107 |
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{{- '<|im_end|>\n' }}
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| 108 |
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{%- elif loop.last %}
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| 109 |
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{{- '<|im_end|>\n' }}
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| 110 |
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{%- endif %}
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| 111 |
+
{%- else %}
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| 112 |
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{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>\n' }}
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| 113 |
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{%- endif %}
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| 114 |
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{%- endfor %}
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| 115 |
+
{%- if add_generation_prompt %}
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| 116 |
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{{- '<|im_start|>assistant\n' }}
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| 117 |
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{%- endif %}
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config.json
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|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3NextForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0,
|
| 7 |
+
"bos_token_id": 151643,
|
| 8 |
+
"decoder_sparse_step": 1,
|
| 9 |
+
"dtype": "bfloat16",
|
| 10 |
+
"eos_token_id": [
|
| 11 |
+
151645,
|
| 12 |
+
151643
|
| 13 |
+
],
|
| 14 |
+
"full_attention_interval": 4,
|
| 15 |
+
"head_dim": 256,
|
| 16 |
+
"hidden_act": "silu",
|
| 17 |
+
"hidden_size": 2048,
|
| 18 |
+
"initializer_range": 0.02,
|
| 19 |
+
"intermediate_size": 5120,
|
| 20 |
+
"layer_types": [
|
| 21 |
+
"linear_attention",
|
| 22 |
+
"linear_attention",
|
| 23 |
+
"linear_attention",
|
| 24 |
+
"full_attention",
|
| 25 |
+
"linear_attention",
|
| 26 |
+
"linear_attention",
|
| 27 |
+
"linear_attention",
|
| 28 |
+
"full_attention",
|
| 29 |
+
"linear_attention",
|
| 30 |
+
"linear_attention",
|
| 31 |
+
"linear_attention",
|
| 32 |
+
"full_attention",
|
| 33 |
+
"linear_attention",
|
| 34 |
+
"linear_attention",
|
| 35 |
+
"linear_attention",
|
| 36 |
+
"full_attention",
|
| 37 |
+
"linear_attention",
|
| 38 |
+
"linear_attention",
|
| 39 |
+
"linear_attention",
|
| 40 |
+
"full_attention",
|
| 41 |
+
"linear_attention",
|
| 42 |
+
"linear_attention",
|
| 43 |
+
"linear_attention",
|
| 44 |
+
"full_attention",
|
| 45 |
+
"linear_attention",
|
| 46 |
+
"linear_attention",
|
| 47 |
+
"linear_attention",
|
| 48 |
+
"full_attention",
|
| 49 |
+
"linear_attention",
|
| 50 |
+
"linear_attention",
|
| 51 |
+
"linear_attention",
|
| 52 |
+
"full_attention",
|
| 53 |
+
"linear_attention",
|
| 54 |
+
"linear_attention",
|
| 55 |
+
"linear_attention",
|
| 56 |
+
"full_attention",
|
| 57 |
+
"linear_attention",
|
| 58 |
+
"linear_attention",
|
| 59 |
+
"linear_attention",
|
| 60 |
+
"full_attention",
|
| 61 |
+
"linear_attention",
|
| 62 |
+
"linear_attention",
|
| 63 |
+
"linear_attention",
|
| 64 |
+
"full_attention",
|
| 65 |
+
"linear_attention",
|
| 66 |
+
"linear_attention",
|
| 67 |
+
"linear_attention",
|
| 68 |
+
"full_attention"
|
| 69 |
+
],
|
| 70 |
+
"linear_conv_kernel_dim": 4,
|
| 71 |
+
"linear_key_head_dim": 128,
|
| 72 |
+
"linear_num_key_heads": 16,
|
| 73 |
+
"linear_num_value_heads": 32,
|
| 74 |
+
"linear_value_head_dim": 128,
|
| 75 |
+
"max_position_embeddings": 262144,
|
| 76 |
+
"merge_args": {
|
| 77 |
+
"balance_group_size": 0,
|
| 78 |
+
"dataset": "c4+math+the-stack-smol",
|
| 79 |
+
"expert_saliency": "reap",
|
| 80 |
+
"gate_softmax": false,
|
| 81 |
+
"group": "freq_logits",
|
| 82 |
+
"merge": "none",
|
| 83 |
+
"merge_size": 384,
|
| 84 |
+
"merger_bs": 3072,
|
| 85 |
+
"merger_seq_len": 512,
|
| 86 |
+
"pca_dim": 64,
|
| 87 |
+
"precompute_input": true,
|
| 88 |
+
"use_gate_output": false
|
| 89 |
+
},
|
| 90 |
+
"mlp_only_layers": [],
|
| 91 |
+
"model_type": "qwen3_next",
|
| 92 |
+
"moe_intermediate_size": 512,
|
| 93 |
+
"norm_topk_prob": true,
|
| 94 |
+
"num_attention_heads": 16,
|
| 95 |
+
"num_experts": 384,
|
| 96 |
+
"num_experts_per_tok": 10,
|
| 97 |
+
"num_hidden_layers": 48,
|
| 98 |
+
"num_key_value_heads": 2,
|
| 99 |
+
"output_router_logits": false,
|
| 100 |
+
"partial_rotary_factor": 0.25,
|
| 101 |
+
"quantization": {
|
| 102 |
+
"group_size": 32,
|
| 103 |
+
"bits": 5,
|
| 104 |
+
"mode": "affine",
|
| 105 |
+
"model.layers.0.mlp.gate": {
|
| 106 |
+
"group_size": 64,
|
| 107 |
+
"bits": 8
|
| 108 |
+
},
|
| 109 |
+
"model.layers.0.mlp.shared_expert_gate": {
|
| 110 |
+
"group_size": 64,
|
| 111 |
+
"bits": 8
|
| 112 |
+
},
|
| 113 |
+
"model.layers.1.mlp.gate": {
|
| 114 |
+
"group_size": 64,
|
| 115 |
+
"bits": 8
|
| 116 |
+
},
|
| 117 |
+
"model.layers.1.mlp.shared_expert_gate": {
|
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model-00007-of-00009.safetensors
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model-00008-of-00009.safetensors
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model-00009-of-00009.safetensors
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model.safetensors.index.json
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tokenizer.json
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tokenizer_config.json
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{
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| 3 |
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"backend": "tokenizers",
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| 4 |
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"bos_token": null,
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| 5 |
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|im_end|>",
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"errors": "replace",
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"pad_token": "<|endoftext|>",
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| 11 |
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"split_special_tokens": false,
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| 12 |
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"tokenizer_class": "Qwen2Tokenizer",
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"tool_parser_type": "qwen3_coder",
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"unk_token": null
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| 15 |
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}
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