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- .gitattributes +1 -0
- README.md +70 -0
- chat_template.jinja +103 -0
- config.json +44 -0
- generation_config.json +10 -0
- model-00001-of-00047.safetensors +3 -0
- model-00002-of-00047.safetensors +3 -0
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- model-00007-of-00047.safetensors +3 -0
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- model-00013-of-00047.safetensors +3 -0
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- model-00045-of-00047.safetensors +3 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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tags:
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- unsloth
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base_model:
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- zai-org/GLM-4.5-Air
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license: mit
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language:
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- en
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- zh
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pipeline_tag: text-generation
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library_name: transformers
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---
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> [!NOTE]
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> Includes Unsloth **chat template fixes**! <br> For `llama.cpp`, use `--jinja`
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>
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<div>
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<p style="margin-top: 0;margin-bottom: 0;">
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<em><a href="https://docs.unsloth.ai/basics/unsloth-dynamic-v2.0-gguf">Unsloth Dynamic 2.0</a> achieves superior accuracy & outperforms other leading quants.</em>
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</p>
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<div style="display: flex; gap: 5px; align-items: center; ">
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<a href="https://github.com/unslothai/unsloth/">
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<img src="https://github.com/unslothai/unsloth/raw/main/images/unsloth%20new%20logo.png" width="133">
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</a>
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<a href="https://discord.gg/unsloth">
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<img src="https://github.com/unslothai/unsloth/raw/main/images/Discord%20button.png" width="173">
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</a>
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<a href="https://docs.unsloth.ai/">
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<img src="https://raw.githubusercontent.com/unslothai/unsloth/refs/heads/main/images/documentation%20green%20button.png" width="143">
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</a>
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</div>
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</div>
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# GLM-4.5-Air
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<div align="center">
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<img src=https://raw.githubusercontent.com/zai-org/GLM-4.5/refs/heads/main/resources/logo.svg width="15%"/>
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</div>
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<p align="center">
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👋 Join our <a href="https://discord.gg/QR7SARHRxK" target="_blank">Discord</a> community.
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<br>
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📖 Check out the GLM-4.5 <a href="https://z.ai/blog/glm-4.5" target="_blank">technical blog</a>.
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<br>
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📍 Use GLM-4.5 API services on <a href="https://docs.z.ai/guides/llm/glm-4.5">Z.ai API Platform (Global)</a> or <br> <a href="https://docs.bigmodel.cn/cn/guide/models/text/glm-4.5">Zhipu AI Open Platform (Mainland China)</a>.
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<br>
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👉 One click to <a href="https://chat.z.ai">GLM-4.5</a>.
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</p>
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## Model Introduction
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The **GLM-4.5** series models are foundation models designed for intelligent agents. GLM-4.5 has **355** billion total parameters with **32** billion active parameters, while GLM-4.5-Air adopts a more compact design with **106** billion total parameters and **12** billion active parameters. GLM-4.5 models unify reasoning, coding, and intelligent agent capabilities to meet the complex demands of intelligent agent applications.
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Both GLM-4.5 and GLM-4.5-Air are hybrid reasoning models that provide two modes: thinking mode for complex reasoning and tool usage, and non-thinking mode for immediate responses.
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We have open-sourced the base models, hybrid reasoning models, and FP8 versions of the hybrid reasoning models for both GLM-4.5 and GLM-4.5-Air. They are released under the MIT open-source license and can be used commercially and for secondary development.
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As demonstrated in our comprehensive evaluation across 12 industry-standard benchmarks, GLM-4.5 achieves exceptional performance with a score of **63.2**, in the **3rd** place among all the proprietary and open-source models. Notably, GLM-4.5-Air delivers competitive results at **59.8** while maintaining superior efficiency.
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For more eval results, show cases, and technical details, please visit
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our [technical blog](https://z.ai/blog/glm-4.5). The technical report will be released soon.
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The model code, tool parser and reasoning parser can be found in the implementation of [transformers](https://github.com/huggingface/transformers/tree/main/src/transformers/models/glm4_moe), [vLLM](https://github.com/vllm-project/vllm/blob/main/vllm/model_executor/models/glm4_moe_mtp.py) and [SGLang](https://github.com/sgl-project/sglang/blob/main/python/sglang/srt/models/glm4_moe.py).
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## Quick Start
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Please refer our [github page](https://github.com/zai-org/GLM-4.5) for more detail.
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chat_template.jinja
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[gMASK]<sop>
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{%- if tools -%}
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<|system|>
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# Tools
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You may call one or more functions to assist with the user query.
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You are provided with function signatures within <tools></tools> XML tags:
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<tools>
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{% for tool in tools %}
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{{ tool | tojson(ensure_ascii=False) }}
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{% endfor %}
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</tools>
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For each function call, output the function name and arguments within the following XML format:
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<tool_call>{function-name}
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<arg_key>{arg-key-1}</arg_key>
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<arg_value>{arg-value-1}</arg_value>
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<arg_key>{arg-key-2}</arg_key>
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<arg_value>{arg-value-2}</arg_value>
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...
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</tool_call>{%- endif -%}
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{%- macro visible_text(content) -%}
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{%- if content is string -%}
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{{- content }}
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{%- elif content is iterable and content is not mapping -%}
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{%- for item in content -%}
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{%- if item is mapping and item.type == 'text' -%}
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{{- item.text }}
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{%- elif item is string -%}
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{{- item }}
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{%- endif -%}
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{%- endfor -%}
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{%- else -%}
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{{- content }}
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{%- endif -%}
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{%- endmacro -%}
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{%- set ns = namespace(last_user_index=-1) %}
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{%- for m in messages %}
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{%- if m.role == 'user' %}
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{% set ns.last_user_index = loop.index0 -%}
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{%- endif %}
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{%- endfor %}
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{% for m in messages %}
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{%- if m.role == 'user' -%}<|user|>
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{{ visible_text(m.content) }}
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{{- '/nothink' if (enable_thinking is defined and not enable_thinking and not visible_text(m.content).endswith("/nothink")) else '' -}}
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{%- elif m.role == 'assistant' -%}
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<|assistant|>
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{%- set reasoning_content = '' %}
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{%- set content = visible_text(m.content) %}
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{%- if m.reasoning_content is string %}
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{%- set reasoning_content = m.reasoning_content %}
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{%- else %}
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{%- if '</think>' in content %}
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{%- set reasoning_content = ((content.split('</think>')|first).rstrip('\n').split('<think>')|last).lstrip('\n') %}
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{%- set content = (content.split('</think>')|last).lstrip('\n') %}
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{%- endif %}
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{%- endif %}
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{%- if loop.index0 > ns.last_user_index and reasoning_content -%}
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{{ '\n<think>' + reasoning_content.strip() + '</think>'}}
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{%- else -%}
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{{ '\n<think></think>' }}
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{%- endif -%}
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{%- if content.strip() -%}
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{{ '\n' + content.strip() }}
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{%- endif -%}
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{% if m.tool_calls %}
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{% for tc in m.tool_calls %}
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{%- if tc.function %}
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{%- set tc = tc.function %}
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{%- endif %}
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{{ '\n<tool_call>' + tc.name }}
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{% set _args = tc.arguments %}
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{% for k, v in _args.items() %}
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<arg_key>{{ k }}</arg_key>
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<arg_value>{{ v | tojson(ensure_ascii=False) if v is not string else v }}</arg_value>
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{% endfor %}
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</tool_call>{% endfor %}
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{% endif %}
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{%- elif m.role == 'tool' -%}
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{%- if m.content is string -%}
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{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|observation|>' }}
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{%- endif %}
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{{- '\n<tool_response>\n' }}
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{{- m.content }}
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{{- '\n</tool_response>' }}
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{%- else -%}
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<|observation|>{% for tr in m.content %}
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+
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<tool_response>
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{{ tr.output if tr.output is defined else tr }}
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</tool_response>{% endfor -%}
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+
{% endif -%}
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+
{%- elif m.role == 'system' -%}
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+
<|system|>
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{{ visible_text(m.content) }}
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+
{%- endif -%}
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+
{%- endfor -%}
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+
{%- if add_generation_prompt -%}
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<|assistant|>{{- '\n<think></think>' if (enable_thinking is defined and not enable_thinking) else '' -}}
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+
{%- endif -%}
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config.json
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{
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"architectures": [
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"Glm4MoeForCausalLM"
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],
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"attention_bias": true,
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"attention_dropout": 0.0,
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"eos_token_id": [
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151329,
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151336,
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151338
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],
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"first_k_dense_replace": 1,
|
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"head_dim": 128,
|
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"hidden_act": "silu",
|
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"hidden_size": 4096,
|
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"initializer_range": 0.02,
|
17 |
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"intermediate_size": 10944,
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"max_position_embeddings": 131072,
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"model_type": "glm4_moe",
|
20 |
+
"moe_intermediate_size": 1408,
|
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"n_group": 1,
|
22 |
+
"n_routed_experts": 128,
|
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"n_shared_experts": 1,
|
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+
"norm_topk_prob": true,
|
25 |
+
"num_attention_heads": 96,
|
26 |
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"num_experts_per_tok": 8,
|
27 |
+
"num_hidden_layers": 46,
|
28 |
+
"num_key_value_heads": 8,
|
29 |
+
"num_nextn_predict_layers": 1,
|
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+
"pad_token_id": 151330,
|
31 |
+
"partial_rotary_factor": 0.5,
|
32 |
+
"rms_norm_eps": 1e-05,
|
33 |
+
"rope_scaling": null,
|
34 |
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"rope_theta": 1000000,
|
35 |
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"routed_scaling_factor": 1.0,
|
36 |
+
"tie_word_embeddings": false,
|
37 |
+
"topk_group": 1,
|
38 |
+
"torch_dtype": "bfloat16",
|
39 |
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"transformers_version": "4.54.1",
|
40 |
+
"unsloth_fixed": true,
|
41 |
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"use_cache": true,
|
42 |
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"use_qk_norm": false,
|
43 |
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"vocab_size": 151552
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}
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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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151329,
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151336,
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151338
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],
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"pad_token_id": 151329,
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"transformers_version": "4.54.0"
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}
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model-00001-of-00047.safetensors
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version https://git-lfs.github.com/spec/v1
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