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async0x42
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GLM-5-4bit

Text Generation
MLX
Safetensors
English
Chinese
glm_moe_dsa
conversational
4-bit precision
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  1. .gitattributes +1 -0
  2. README.md +39 -0
  3. chat_template.jinja +86 -0
  4. config.json +152 -0
  5. generation_config.json +12 -0
  6. model-00003-of-00091.safetensors +3 -0
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.gitattributes CHANGED
@@ -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
README.md ADDED
@@ -0,0 +1,39 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ language:
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+ - en
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+ - zh
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+ library_name: mlx
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+ license: mit
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+ pipeline_tag: text-generation
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+ base_model: unsloth/GLM-5
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+ tags:
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+ - mlx
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+ ---
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+
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+ # async0x42/GLM-5-4bit
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+
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+ This model [async0x42/GLM-5-4bit](https://huggingface.co/async0x42/GLM-5-4bit) was
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+ converted to MLX format from [unsloth/GLM-5](https://huggingface.co/unsloth/GLM-5)
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+ using mlx-lm version **0.30.7**.
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+
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+ ## Use with mlx
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+
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+ ```bash
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+ pip install mlx-lm
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+ ```
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+
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+ ```python
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+ from mlx_lm import load, generate
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+
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+ model, tokenizer = load("async0x42/GLM-5-4bit")
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+
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+ prompt = "hello"
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+
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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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+
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+ response = generate(model, tokenizer, prompt=prompt, verbose=True)
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+ ```
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:
9
+ <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:
16
+ <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) %}
33
+ {%- for m in messages %}
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+ {%- if m.role == 'user' %}
35
+ {% 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' -%}
41
+ <|assistant|>
42
+ {%- set reasoning_content = '' %}
43
+ {%- set content = visible_text(m.content) %}
44
+ {%- if m.reasoning_content is string %}
45
+ {%- set reasoning_content = m.reasoning_content %}
46
+ {%- else %}
47
+ {%- if '</think>' in content %}
48
+ {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
49
+ {%- set content = content.split('</think>')[-1].lstrip('\n') %}
50
+ {%- endif %}
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+ {%- endif %}
52
+ {%- if ((clear_thinking is defined and not clear_thinking) or loop.index0 > ns.last_user_index) and reasoning_content -%}
53
+ {{ '<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() -%}
58
+ {{ content.strip() }}
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+ {%- endif -%}
60
+ {% if m.tool_calls %}
61
+ {% for tc in m.tool_calls %}
62
+ {%- if tc.function %}
63
+ {%- set tc = tc.function %}
64
+ {%- endif %}
65
+ {{- '<tool_call>' + tc.name -}}
66
+ {% 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 %}
67
+ {% endif %}
68
+ {%- elif m.role == 'tool' -%}
69
+ {%- if m.content is string -%}
70
+ {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
71
+ {{- '<|observation|>' }}
72
+ {%- endif %}
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+ {{- '<tool_response>' }}
74
+ {{- m.content }}
75
+ {{- '</tool_response>' }}
76
+ {%- else -%}
77
+ <|observation|>{% for tr in m.content %}
78
+ <tool_response>{{ tr.output if tr.output is defined else tr }}</tool_response>{% endfor -%}
79
+ {% endif -%}
80
+ {%- elif m.role == 'system' -%}
81
+ <|system|>{{ visible_text(m.content) }}
82
+ {%- endif -%}
83
+ {%- endfor -%}
84
+ {%- if add_generation_prompt -%}
85
+ <|assistant|>{{- '</think>' if (enable_thinking is defined and not enable_thinking) else '<think>' -}}
86
+ {%- endif -%}
config.json ADDED
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+ {
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+ "architectures": [
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+ "GlmMoeDsaForCausalLM"
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+ "ep_size": 1,
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+ "hidden_act": "silu",
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+ "hidden_size": 6144,
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+ "index_head_dim": 128,
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+ "index_n_heads": 32,
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+ "index_topk": 2048,
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+ "indexer_rope_interleave": true,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 12288,
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+ "kv_lora_rank": 512,
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+ "max_position_embeddings": 202752,
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+ "mlp_layer_types": [
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+ "dense",
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+ ],
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+ "model_type": "glm_moe_dsa",
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+ "moe_intermediate_size": 2048,
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+ "moe_layer_freq": 1,
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+ "n_group": 1,
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+ "n_routed_experts": 256,
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+ "norm_topk_prob": true,
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+ "num_attention_heads": 64,
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+ "num_experts_per_tok": 8,
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+ "num_hidden_layers": 78,
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+ "num_nextn_predict_layers": 1,
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+ "pad_token_id": 154821,
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+ "partial_rotary_factor": 1.0,
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+ "pretraining_tp": 1,
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+ "qk_head_dim": 256,
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+ "qk_nope_head_dim": 192,
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+ "quantization": {
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+ "bits": 4,
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+ "mode": "affine"
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+ "quantization_config": {
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+ "rms_norm_eps": 1e-05,
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+ "rope_interleave": true,
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+ "rope_parameters": {
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+ "rope_theta": 1000000,
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+ "rope_type": "default"
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+ "routed_scaling_factor": 2.5,
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+ "scoring_func": "sigmoid",
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+ "tie_word_embeddings": false,
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+ "topk_group": 1,
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+ "topk_method": "noaux_tc",
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "5.2.0.dev0",
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+ "unsloth_fixed": true,
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+ "use_cache": true,
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+ "v_head_dim": 256,
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+ "vocab_size": 154880
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+ }
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