Upload FP8 quantized GLM-4.7-Flash
Browse files- .gitattributes +1 -0
- README.md +40 -0
- chat_template.jinja +86 -0
- config.json +104 -0
- generation_config.json +11 -0
- model-00001-of-00011.safetensors +3 -0
- model-00002-of-00011.safetensors +3 -0
- model-00003-of-00011.safetensors +3 -0
- model-00004-of-00011.safetensors +3 -0
- model-00005-of-00011.safetensors +3 -0
- model-00006-of-00011.safetensors +3 -0
- model-00007-of-00011.safetensors +3 -0
- model-00008-of-00011.safetensors +3 -0
- model-00009-of-00011.safetensors +3 -0
- model-00010-of-00011.safetensors +3 -0
- model-00011-of-00011.safetensors +3 -0
- model.safetensors.index.json +731 -0
- tokenizer.json +3 -0
- tokenizer_config.json +33 -0
.gitattributes
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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
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---
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license: other
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license_name: glm-4
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license_link: https://huggingface.co/THUDM/glm-4-9b/blob/main/LICENSE
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base_model: zai-org/GLM-4.7-Flash
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tags:
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- fp8
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- quantized
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- glm4
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library_name: transformers
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---
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# GLM-4.7-Flash FP8
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This is an FP8 (E4M3) quantized version of [zai-org/GLM-4.7-Flash](https://huggingface.co/zai-org/GLM-4.7-Flash).
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## Quantization Details
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- **Format**: FP8 E4M3
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- **Quantized layers**: All Linear layers except embeddings and layer norms
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- **Scale storage**: Per-tensor scales stored alongside weights
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## Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import torch
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model = AutoModelForCausalLM.from_pretrained(
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"marksverdhei/GLM-4.7-Flash-fp8",
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torch_dtype=torch.bfloat16,
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device_map="auto",
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trust_remote_code=True
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)
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tokenizer = AutoTokenizer.from_pretrained("marksverdhei/GLM-4.7-Flash-fp8", trust_remote_code=True)
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```
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## Original Model
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See the original model card at [zai-org/GLM-4.7-Flash](https://huggingface.co/zai-org/GLM-4.7-Flash) for full details on capabilities and usage.
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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}<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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{{ 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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{{- '<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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{%- else -%}
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<|observation|>{% for tr in m.content %}
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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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| 80 |
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{%- elif m.role == 'system' -%}
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| 81 |
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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 -%}
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config.json
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{
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"architectures": [
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| 3 |
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"Glm4MoeLiteForCausalLM"
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| 4 |
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],
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| 5 |
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"attention_bias": false,
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| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"bos_token_id": 0,
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| 8 |
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"dtype": "bfloat16",
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| 9 |
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"eos_token_id": [
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| 10 |
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154820,
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| 11 |
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154827,
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| 12 |
+
154829
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| 13 |
+
],
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| 14 |
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"first_k_dense_replace": 1,
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| 15 |
+
"head_dim": 64,
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| 16 |
+
"hidden_act": "silu",
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| 17 |
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"hidden_size": 2048,
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| 18 |
+
"initializer_range": 0.02,
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| 19 |
+
"intermediate_size": 10240,
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| 20 |
+
"kv_lora_rank": 512,
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| 21 |
+
"max_position_embeddings": 202752,
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| 22 |
+
"mlp_layer_types": [
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| 23 |
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"dense",
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| 24 |
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"sparse",
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| 25 |
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"sparse",
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| 26 |
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"sparse",
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| 27 |
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"sparse",
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| 28 |
+
"sparse",
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| 29 |
+
"sparse",
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| 30 |
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"sparse",
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| 31 |
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"sparse",
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| 32 |
+
"sparse",
|
| 33 |
+
"sparse",
|
| 34 |
+
"sparse",
|
| 35 |
+
"sparse",
|
| 36 |
+
"sparse",
|
| 37 |
+
"sparse",
|
| 38 |
+
"sparse",
|
| 39 |
+
"sparse",
|
| 40 |
+
"sparse",
|
| 41 |
+
"sparse",
|
| 42 |
+
"sparse",
|
| 43 |
+
"sparse",
|
| 44 |
+
"sparse",
|
| 45 |
+
"sparse",
|
| 46 |
+
"sparse",
|
| 47 |
+
"sparse",
|
| 48 |
+
"sparse",
|
| 49 |
+
"sparse",
|
| 50 |
+
"sparse",
|
| 51 |
+
"sparse",
|
| 52 |
+
"sparse",
|
| 53 |
+
"sparse",
|
| 54 |
+
"sparse",
|
| 55 |
+
"sparse",
|
| 56 |
+
"sparse",
|
| 57 |
+
"sparse",
|
| 58 |
+
"sparse",
|
| 59 |
+
"sparse",
|
| 60 |
+
"sparse",
|
| 61 |
+
"sparse",
|
| 62 |
+
"sparse",
|
| 63 |
+
"sparse",
|
| 64 |
+
"sparse",
|
| 65 |
+
"sparse",
|
| 66 |
+
"sparse",
|
| 67 |
+
"sparse",
|
| 68 |
+
"sparse",
|
| 69 |
+
"sparse"
|
| 70 |
+
],
|
| 71 |
+
"model_type": "glm4_moe_lite",
|
| 72 |
+
"moe_intermediate_size": 1536,
|
| 73 |
+
"n_group": 1,
|
| 74 |
+
"n_routed_experts": 64,
|
| 75 |
+
"n_shared_experts": 1,
|
| 76 |
+
"norm_topk_prob": true,
|
| 77 |
+
"num_attention_heads": 20,
|
| 78 |
+
"num_experts_per_tok": 4,
|
| 79 |
+
"num_hidden_layers": 47,
|
| 80 |
+
"num_key_value_heads": 20,
|
| 81 |
+
"num_nextn_predict_layers": 1,
|
| 82 |
+
"pad_token_id": 154820,
|
| 83 |
+
"partial_rotary_factor": 1.0,
|
| 84 |
+
"pretraining_tp": 1,
|
| 85 |
+
"q_lora_rank": 768,
|
| 86 |
+
"qk_head_dim": 256,
|
| 87 |
+
"qk_nope_head_dim": 192,
|
| 88 |
+
"qk_rope_head_dim": 64,
|
| 89 |
+
"rms_norm_eps": 1e-05,
|
| 90 |
+
"rope_interleave": true,
|
| 91 |
+
"rope_parameters": {
|
| 92 |
+
"partial_rotary_factor": 1.0,
|
| 93 |
+
"rope_theta": 1000000,
|
| 94 |
+
"rope_type": "default"
|
| 95 |
+
},
|
| 96 |
+
"routed_scaling_factor": 1.8,
|
| 97 |
+
"tie_word_embeddings": false,
|
| 98 |
+
"topk_group": 1,
|
| 99 |
+
"topk_method": "noaux_tc",
|
| 100 |
+
"transformers_version": "5.0.0.dev0",
|
| 101 |
+
"use_cache": true,
|
| 102 |
+
"v_head_dim": 256,
|
| 103 |
+
"vocab_size": 154880
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| 104 |
+
}
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generation_config.json
ADDED
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{
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"_from_model_config": true,
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| 3 |
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"eos_token_id": [
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| 4 |
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154820,
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| 5 |
+
154827,
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| 6 |
+
154829
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| 7 |
+
],
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| 8 |
+
"pad_token_id": 154820,
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| 9 |
+
"temperature": 1.0,
|
| 10 |
+
"transformers_version": "5.0.0.dev0"
|
| 11 |
+
}
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model-00001-of-00011.safetensors
ADDED
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@@ -0,0 +1,3 @@
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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size 20217442
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tokenizer_config.json
ADDED
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@@ -0,0 +1,33 @@
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|
|
|
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|
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|
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|
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|
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|
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|
|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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| 7 |
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|
| 8 |
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| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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"<|observation|>",
|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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| 21 |
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| 22 |
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| 23 |
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|
| 24 |
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|
| 25 |
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| 26 |
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|
| 33 |
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