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Browse files- .gitattributes +3 -0
- README.md +45 -0
- chat_template.jinja +103 -0
- config.json +54 -0
- generation_config.json +10 -0
- model-00001-of-00023.safetensors +3 -0
- model-00002-of-00023.safetensors +3 -0
- model-00003-of-00023.safetensors +3 -0
- model-00004-of-00023.safetensors +3 -0
- model-00005-of-00023.safetensors +3 -0
- model-00006-of-00023.safetensors +3 -0
- model-00007-of-00023.safetensors +3 -0
- model-00008-of-00023.safetensors +3 -0
- model-00009-of-00023.safetensors +3 -0
- model-00010-of-00023.safetensors +3 -0
- model-00011-of-00023.safetensors +3 -0
- model-00012-of-00023.safetensors +3 -0
- model-00013-of-00023.safetensors +3 -0
- model-00014-of-00023.safetensors +3 -0
- model-00015-of-00023.safetensors +3 -0
- model-00016-of-00023.safetensors +3 -0
- model-00017-of-00023.safetensors +3 -0
- model-00018-of-00023.safetensors +3 -0
- model-00019-of-00023.safetensors +3 -0
- model-00020-of-00023.safetensors +3 -0
- model-00021-of-00023.safetensors +3 -0
- model-00022-of-00023.safetensors +3 -0
- model-00023-of-00023.safetensors +3 -0
- model.safetensors.index.json +3 -0
- quantization_config.json +3 -0
- tokenizer.json +3 -0
- tokenizer_config.json +325 -0
.gitattributes
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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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model.safetensors.index.json filter=lfs diff=lfs merge=lfs -text
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quantization_config.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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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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# GLM-4.5
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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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| 5 |
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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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| 10 |
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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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| 20 |
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<arg_value>{arg-value-2}</arg_value>
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| 21 |
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...
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| 22 |
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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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| 29 |
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{{- item.text }}
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{%- elif item is string -%}
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{{- item }}
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| 32 |
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{%- endif -%}
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{%- endfor -%}
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| 34 |
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{%- else -%}
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| 35 |
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{{- content }}
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{%- endif -%}
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| 37 |
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{%- endmacro -%}
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| 38 |
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{%- set ns = namespace(last_user_index=-1) %}
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| 39 |
+
{%- for m in messages %}
|
| 40 |
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{%- if m.role == 'user' %}
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| 41 |
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{% set ns.last_user_index = loop.index0 -%}
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{%- endif %}
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| 43 |
+
{%- endfor %}
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| 44 |
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{% for m in messages %}
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| 45 |
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{%- if m.role == 'user' -%}<|user|>
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| 46 |
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{{ visible_text(m.content) }}
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| 47 |
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{{- '/nothink' if (enable_thinking is defined and not enable_thinking and not visible_text(m.content).endswith("/nothink")) else '' -}}
|
| 48 |
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{%- elif m.role == 'assistant' -%}
|
| 49 |
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<|assistant|>
|
| 50 |
+
{%- set reasoning_content = '' %}
|
| 51 |
+
{%- set content = visible_text(m.content) %}
|
| 52 |
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{%- if m.reasoning_content is string %}
|
| 53 |
+
{%- set reasoning_content = m.reasoning_content %}
|
| 54 |
+
{%- else %}
|
| 55 |
+
{%- if '</think>' in content %}
|
| 56 |
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{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
| 57 |
+
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
| 58 |
+
{%- endif %}
|
| 59 |
+
{%- endif %}
|
| 60 |
+
{%- if loop.index0 > ns.last_user_index and reasoning_content -%}
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| 61 |
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{{ '\n<think>' + reasoning_content.strip() + '</think>'}}
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{%- else -%}
|
| 63 |
+
{{ '\n<think></think>' }}
|
| 64 |
+
{%- endif -%}
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| 65 |
+
{%- if content.strip() -%}
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| 66 |
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{{ '\n' + content.strip() }}
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| 67 |
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{%- endif -%}
|
| 68 |
+
{% if m.tool_calls %}
|
| 69 |
+
{% for tc in m.tool_calls %}
|
| 70 |
+
{%- if tc.function %}
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| 71 |
+
{%- set tc = tc.function %}
|
| 72 |
+
{%- endif %}
|
| 73 |
+
{{ '\n<tool_call>' + tc.name }}
|
| 74 |
+
{% set _args = tc.arguments %}
|
| 75 |
+
{% for k, v in _args.items() %}
|
| 76 |
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<arg_key>{{ k }}</arg_key>
|
| 77 |
+
<arg_value>{{ v | tojson(ensure_ascii=False) if v is not string else v }}</arg_value>
|
| 78 |
+
{% endfor %}
|
| 79 |
+
</tool_call>{% endfor %}
|
| 80 |
+
{% endif %}
|
| 81 |
+
{%- elif m.role == 'tool' -%}
|
| 82 |
+
{%- if m.content is string -%}
|
| 83 |
+
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
| 84 |
+
{{- '<|observation|>' }}
|
| 85 |
+
{%- endif %}
|
| 86 |
+
{{- '\n<tool_response>\n' }}
|
| 87 |
+
{{- m.content }}
|
| 88 |
+
{{- '\n</tool_response>' }}
|
| 89 |
+
{%- else -%}
|
| 90 |
+
<|observation|>{% for tr in m.content %}
|
| 91 |
+
|
| 92 |
+
<tool_response>
|
| 93 |
+
{{ tr.output if tr.output is defined else tr }}
|
| 94 |
+
</tool_response>{% endfor -%}
|
| 95 |
+
{% endif -%}
|
| 96 |
+
{%- elif m.role == 'system' -%}
|
| 97 |
+
<|system|>
|
| 98 |
+
{{ visible_text(m.content) }}
|
| 99 |
+
{%- endif -%}
|
| 100 |
+
{%- endfor -%}
|
| 101 |
+
{%- if add_generation_prompt -%}
|
| 102 |
+
<|assistant|>{{- '\n<think></think>' if (enable_thinking is defined and not enable_thinking) else '' -}}
|
| 103 |
+
{%- endif -%}
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config.json
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{
|
| 2 |
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"architectures": [
|
| 3 |
+
"Glm4MoeForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": true,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"pad_token_id": 151329,
|
| 8 |
+
"eos_token_id": [
|
| 9 |
+
151329,
|
| 10 |
+
151336,
|
| 11 |
+
151338
|
| 12 |
+
],
|
| 13 |
+
"head_dim": 128,
|
| 14 |
+
"hidden_act": "silu",
|
| 15 |
+
"hidden_size": 5120,
|
| 16 |
+
"partial_rotary_factor": 0.5,
|
| 17 |
+
"initializer_range": 0.02,
|
| 18 |
+
"intermediate_size": 12288,
|
| 19 |
+
"max_position_embeddings": 131072,
|
| 20 |
+
"model_type": "glm4_moe",
|
| 21 |
+
"moe_intermediate_size": 1536,
|
| 22 |
+
"norm_topk_prob": true,
|
| 23 |
+
"num_attention_heads": 96,
|
| 24 |
+
"n_group": 1,
|
| 25 |
+
"topk_group": 1,
|
| 26 |
+
"n_routed_experts": 160,
|
| 27 |
+
"n_shared_experts": 1,
|
| 28 |
+
"routed_scaling_factor": 2.5,
|
| 29 |
+
"num_experts_per_tok": 8,
|
| 30 |
+
"first_k_dense_replace": 3,
|
| 31 |
+
"num_hidden_layers": 92,
|
| 32 |
+
"num_key_value_heads": 8,
|
| 33 |
+
"rms_norm_eps": 1e-05,
|
| 34 |
+
"rope_scaling": null,
|
| 35 |
+
"rope_theta": 1000000,
|
| 36 |
+
"num_nextn_predict_layers": 1,
|
| 37 |
+
"tie_word_embeddings": false,
|
| 38 |
+
"torch_dtype": "bfloat16",
|
| 39 |
+
"transformers_version": "4.54.0",
|
| 40 |
+
"use_cache": true,
|
| 41 |
+
"use_qk_norm": true,
|
| 42 |
+
"vocab_size": 151552,
|
| 43 |
+
"quantization_config": {
|
| 44 |
+
"quant_method": "exl3",
|
| 45 |
+
"version": "0.0.5",
|
| 46 |
+
"bits": 4.0,
|
| 47 |
+
"head_bits": 6,
|
| 48 |
+
"calibration": {
|
| 49 |
+
"rows": 100,
|
| 50 |
+
"cols": 2048
|
| 51 |
+
},
|
| 52 |
+
"out_scales": "auto"
|
| 53 |
+
}
|
| 54 |
+
}
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generation_config.json
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{
|
| 2 |
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"_from_model_config": true,
|
| 3 |
+
"eos_token_id": [
|
| 4 |
+
151329,
|
| 5 |
+
151336,
|
| 6 |
+
151338
|
| 7 |
+
],
|
| 8 |
+
"pad_token_id": 151329,
|
| 9 |
+
"transformers_version": "4.54.0"
|
| 10 |
+
}
|
model-00001-of-00023.safetensors
ADDED
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| 1 |
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version https://git-lfs.github.com/spec/v1
|
| 2 |
+
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| 44 |
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