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GLM-4.7-PRISM-AWQ

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glm4_moe
4-bit precision
awq
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  1. .gitattributes +2 -0
  2. chat_template.jinja +86 -0
  3. config.json +90 -0
  4. generation_config.json +11 -0
  5. model-00001-of-00045.safetensors +3 -0
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.gitattributes CHANGED
@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
chat_template.jinja ADDED
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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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+
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+ You may call one or more functions to assist with the user query.
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+
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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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+
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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}<arg_key>{arg-key-1}</arg_key><arg_value>{arg-value-1}</arg_value><arg_key>{arg-key-2}</arg_key><arg_value>{arg-value-2}</arg_value>...</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|>{{ visible_text(m.content) }}
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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>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
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+ {%- set content = content.split('</think>')[-1].lstrip('\n') %}
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+ {%- endif %}
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+ {%- endif %}
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+ {%- if ((clear_thinking is defined and not clear_thinking) or loop.index0 > ns.last_user_index) and reasoning_content -%}
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+ {{ '<think>' + reasoning_content.strip() + '</think>'}}
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+ {%- else -%}
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+ {{ '</think>' }}
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+ {%- endif -%}
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+ {%- if content.strip() -%}
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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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+ {{- '<tool_call>' + tc.name -}}
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+ {% set _args = tc.arguments %}{% for k, v in _args.items() %}<arg_key>{{ k }}</arg_key><arg_value>{{ v | tojson(ensure_ascii=False) if v is not string else v }}</arg_value>{% endfor %}</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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+ {{- '<tool_response>' }}
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+ {{- m.content }}
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+ {{- '</tool_response>' }}
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+ <tool_response>{{ tr.output if tr.output is defined else tr }}</tool_response>{% endfor -%}
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+ {% endif -%}
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+ {%- elif m.role == 'system' -%}
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+ <|system|>{{ 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|>{{- '</think>' if (enable_thinking is defined and not enable_thinking) else '<think>' -}}
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+ {%- endif -%}
config.json ADDED
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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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+ "dtype": "bfloat16",
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+ "bits": 4,
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+ "desc_act": true,
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+ "format": "llm-awq",
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+ "lm_head": false,
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+ "k": 2.75,
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+ "type": "mad"
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+ "strategy": "rtn",
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+ "threshold": "0.5%"
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+ "staging_dtype": "float32"
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+ },
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+ "mock_quantization": false,
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+ "mse": 0.0,
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+ "offload_to_disk": true,
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+ "offload_to_disk_path": "/scratch/gptqmodel_offload",
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+ "pack_impl": "cpu",
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+ "quantizer": [
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+ "gptqmodel:5.7.0"
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+ ],
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+ "static_groups": false,
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+ "true_sequential": true,
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+ "uri": "https://github.com/modelcloud/gptqmodel",
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+ "vram_strategy": "exclusive",
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+ "wait_for_submodule_finalizers": false
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+ },
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+ "pack_dtype": "int16",
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+ "quant_method": "awq",
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+ "version": "llm-awq",
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+ "use_cache": true,
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+ "use_qk_norm": true,
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+ "vocab_size": 151552
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+ }
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