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Model: fzkun/minimind3-ascend-moe Source: Original Platform
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README.md
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README.md
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---
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language:
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- zh
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license: apache-2.0
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library_name: transformers
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tags:
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- minimind
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- qwen3-moe
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- moe
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- chat
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- text-generation
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- ascend
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pipeline_tag: text-generation
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---
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# MiniMind3-Ascend-MoE
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这是一个基于 **MiniMind3-Ascend** 训练链路导出的 MoE 对话模型，兼容 Transformers 推理方式，适合追求更高容量与更强表达能力的场景。
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## 模型信息
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- 模型名：`fzkun/minimind3-ascend-moe`
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- 架构：MoE
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- 导出兼容：`Qwen3MoeForCausalLM`
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- 参数规模：约 **198M**
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- 激活参数：约 **64M**
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- 主要配置：
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- `hidden_size = 768`
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- `num_hidden_layers = 8`
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- `num_experts = 4`
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- `num_experts_per_tok = 1`
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## 文件说明
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仓库中包含：
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- `config.json`
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- `generation_config.json`
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- `model.safetensors`
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- `tokenizer.json`
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- `tokenizer_config.json`
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- `special_tokens_map.json`
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- `chat_template.jinja`
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## 使用方式
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### Transformers
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM
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model_id = "fzkun/minimind3-ascend-moe"
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tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
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model = AutoModelForCausalLM.from_pretrained(model_id, trust_remote_code=True)
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messages = [{"role": "user", "content": "你好"}]
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text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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inputs = tokenizer(text, return_tensors="pt")
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out = model.generate(**inputs, max_new_tokens=256)
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print(tokenizer.decode(out[0][inputs["input_ids"].shape[1]:], skip_special_tokens=True))
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```
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## Benchmark 结果
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评测环境：
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- Ascend 910B
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- 单卡 `npu:0`
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- `batch_size = 16`
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| ceval | cmmlu | arc | piqa | openbookqa | hellaswag | siqa |
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|---:|---:|---:|---:|---:|---:|---:|
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| 23.77 | 24.88 | 30.30 | 51.63 | 26.00 | 28.58 | 34.08 |
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说明：
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- `ceval / cmmlu / arc / piqa / openbookqa / hellaswag` 使用 `acc_norm`
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- `social_iqa` 使用 `acc`
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## 补充说明
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- MoE 版本容量更高，在部分 benchmark 上表现更强
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- 对应 SwanLab 实验记录：<https://swanlab.cn/@fzkun/MiniMind3/overview>
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chat_template.jinja
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chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0].role == 'system' %}
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{{- messages[0].content + '\n\n' }}
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{%- endif %}
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{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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{%- else %}
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{%- if messages[0].role == 'system' %}
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{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
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{%- for message in messages[::-1] %}
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{%- set index = (messages|length - 1) - loop.index0 %}
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{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
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{%- set ns.multi_step_tool = false %}
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{%- set ns.last_query_index = index %}
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{%- endif %}
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{%- endfor %}
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{%- for message in messages %}
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{%- if message.content is string %}
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{%- set content = message.content %}
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{%- else %}
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{%- set content = '' %}
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{%- endif %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
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{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{%- set reasoning_content = '' %}
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{%- if message.reasoning_content is string %}
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{%- set reasoning_content = message.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 true %}
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{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
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{%- endif %}
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{%- if message.tool_calls %}
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{%- for tool_call in message.tool_calls %}
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{%- if (loop.first and content) or (not loop.first) %}
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{{- '\n' }}
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{%- endif %}
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{%- if tool_call.function %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{%- if tool_call.arguments is string %}
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{{- tool_call.arguments }}
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{%- else %}
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{{- tool_call.arguments | tojson }}
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{%- endif %}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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{%- endif %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "tool" %}
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{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|im_start|>user' }}
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{%- endif %}
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{{- '\n<tool_response>\n' }}
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{{- content }}
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{{- '\n</tool_response>' }}
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
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{{- '<|im_start|>assistant\n' }}
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{%- if open_thinking is defined and open_thinking is true %}
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{{- '<think>\n' }}
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{%- else %}
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{{- '<think>\n\n</think>\n\n' }}
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{%- endif %}
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{%- endif %}
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35
config.json
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config.json
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{
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"architectures": [
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"Qwen3MoeForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"decoder_sparse_step": 1,
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"dtype": "float16",
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"head_dim": 96,
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"hidden_act": "silu",
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 2432,
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"max_position_embeddings": 8192,
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"mlp_only_layers": [],
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"model_type": "qwen3_moe",
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"moe_intermediate_size": 2432,
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"norm_topk_prob": true,
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"num_attention_heads": 8,
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"num_experts": 4,
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"num_experts_per_tok": 1,
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"num_hidden_layers": 8,
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"num_key_value_heads": 4,
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"output_router_logits": false,
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta": 1000000.0,
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"router_aux_loss_coef": 0.001,
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"sliding_window": null,
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"tie_word_embeddings": true,
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"transformers_version": "4.57.6",
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"use_cache": true,
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"use_sliding_window": false,
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"vocab_size": 6400
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}
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generation_config.json
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generation_config.json
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{
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"_from_model_config": true,
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"transformers_version": "4.57.6"
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}
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model.safetensors
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 396852784
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special_tokens_map.json
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<|im_start|>",
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"<|im_end|>",
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"<|object_ref_start|>",
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"<|object_ref_end|>",
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"<|box_start|>",
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"<|box_end|>",
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"<|quad_start|>",
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"<|quad_end|>",
|
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"<|vision_start|>",
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"<|vision_end|>",
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"<|image_pad|>",
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"<|video_pad|>",
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"<|audio_start|>",
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"<|audio_end|>",
|
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"<|audio_pad|>",
|
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"<tts_pad>",
|
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"<tts_text_bos>",
|
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"<tts_text_eod>",
|
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"<tts_text_bos_single>"
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],
|
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"bos_token": {
|
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"content": "<|im_start|>",
|
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"lstrip": false,
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"normalized": false,
|
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"rstrip": false,
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"single_word": false
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},
|
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"eos_token": {
|
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"content": "<|im_end|>",
|
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"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
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"single_word": false
|
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},
|
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"pad_token": {
|
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|
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"rstrip": false,
|
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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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"rstrip": false,
|
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"single_word": false
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}
|
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}
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31191
tokenizer.json
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tokenizer.json
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Load Diff
335
tokenizer_config.json
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tokenizer_config.json
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{
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"add_bos_token": false,
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"add_eos_token": false,
|
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"add_prefix_space": false,
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"added_tokens_decoder": {
|
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"0": {
|
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"content": "<|endoftext|>",
|
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"lstrip": false,
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"normalized": false,
|
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"rstrip": false,
|
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|
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"special": true
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},
|
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"1": {
|
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|
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"lstrip": false,
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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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|
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|
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|
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|
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"special": true
|
||||
},
|
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"3": {
|
||||
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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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|
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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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|
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|
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"rstrip": false,
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"special": true
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},
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"8": {
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|
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|
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"9": {
|
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|
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"10": {
|
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|
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|
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|
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|
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"rstrip": false,
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"single_word": false,
|
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"special": true
|
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},
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"14": {
|
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"content": "<|audio_start|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
|
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"single_word": false,
|
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"special": true
|
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},
|
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"15": {
|
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"content": "<|audio_end|>",
|
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"lstrip": false,
|
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"normalized": false,
|
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"rstrip": false,
|
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"single_word": false,
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"special": true
|
||||
},
|
||||
"16": {
|
||||
"content": "<|audio_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"17": {
|
||||
"content": "<tts_pad>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"18": {
|
||||
"content": "<tts_text_bos>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"19": {
|
||||
"content": "<tts_text_eod>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"20": {
|
||||
"content": "<tts_text_bos_single>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"21": {
|
||||
"content": "<tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"22": {
|
||||
"content": "</tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"23": {
|
||||
"content": "<tool_response>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"24": {
|
||||
"content": "</tool_response>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"25": {
|
||||
"content": "<think>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"26": {
|
||||
"content": "</think>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"27": {
|
||||
"content": "<|buffer1|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"28": {
|
||||
"content": "<|buffer2|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"29": {
|
||||
"content": "<|buffer3|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"30": {
|
||||
"content": "<|buffer4|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"31": {
|
||||
"content": "<|buffer5|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"32": {
|
||||
"content": "<|buffer6|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"33": {
|
||||
"content": "<|buffer7|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"34": {
|
||||
"content": "<|buffer8|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"35": {
|
||||
"content": "<|buffer9|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>",
|
||||
"<|audio_start|>",
|
||||
"<|audio_end|>",
|
||||
"<|audio_pad|>",
|
||||
"<tts_pad>",
|
||||
"<tts_text_bos>",
|
||||
"<tts_text_eod>",
|
||||
"<tts_text_bos_single>"
|
||||
],
|
||||
"audio_bos_token": "<|audio_start|>",
|
||||
"audio_eos_token": "<|audio_end|>",
|
||||
"audio_token": "<|audio_pad|>",
|
||||
"bos_token": "<|im_start|>",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"extra_special_tokens": {},
|
||||
"image_token": "<|image_pad|>",
|
||||
"legacy": true,
|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"sp_model_kwargs": {},
|
||||
"spaces_between_special_tokens": false,
|
||||
"tokenizer_class": "PreTrainedTokenizerFast",
|
||||
"unk_token": "<|endoftext|>",
|
||||
"video_token": "<|video_pad|>",
|
||||
"vision_bos_token": "<|vision_start|>",
|
||||
"vision_eos_token": "<|vision_end|>"
|
||||
}
|
||||
Reference in New Issue
Block a user