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Model: syj4205/broken-model-fixed Source: Original Platform
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vendored
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README.md
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---
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library_name: transformers
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pipeline_tag: text-generation
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base_model:
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- Qwen/Qwen3-8B
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---
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# Qwen3-8B Fixed Model
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This repository is a fixed version of [yunmorning/broken-model](https://huggingface.co/yunmorning/broken-model).
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The original model could not be used to run a functional `/chat/completions` API server due to two critical issues.
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---
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## Changes Made
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### Fix 1: Added `chat_template` to `tokenizer_config.json`
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**Before:** `chat_template` field did not exist
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**After:** Added official Qwen3 Jinja2 chat template
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**Why:** OpenAI-compatible API servers (vLLM, FriendliAI, etc.) rely on `chat_template` to convert the `messages` array into model input via `tokenizer.apply_chat_template()`. Without this field, the `/chat/completions` endpoint cannot format prompts and fails entirely.
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---
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### Fix 2: Corrected shard mapping in `model.safetensors.index.json`
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**Before:** Layer 7's `q_proj`, `k_proj`, `v_proj` pointed to wrong shard
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**After:** Corrected to the right shard
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| Tensor | Before | After |
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|--------|--------|-------|
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| `model.layers.7.self_attn.q_proj.weight` | `model-00001-of-00005.safetensors` | `model-00002-of-00005.safetensors` |
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| `model.layers.7.self_attn.k_proj.weight` | `model-00001-of-00005.safetensors` | `model-00002-of-00005.safetensors` |
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| `model.layers.7.self_attn.v_proj.weight` | `model-00001-of-00005.safetensors` | `model-00002-of-00005.safetensors` |
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**Why:** All other tensors in Layer 7 correctly point to `model-00002`. This mismatch causes a weight loading error at inference time since the tensors cannot be found in the referenced shard.
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---
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### Fix 3: Corrected `base_model` metadata in `README.md`
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**Before:** `base_model: meta-llama/Meta-Llama-3.1-8B`
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**After:** `base_model: Qwen/Qwen3-8B`
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**Why:** The actual weights (`lm_head.weight` shape `[151936, 4096]`) and config (`model_type: qwen3`, `architectures: Qwen3ForCausalLM`) confirm this is a Qwen3-8B model. LLaMA 3.1-8B has a vocab size of 128,256, which does not match. This is a metadata-only fix with no effect on inference.
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---
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## What Was NOT Changed
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| Item | Reason |
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|------|--------|
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| `config.json` | All architecture values match Qwen3-8B spec exactly |
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| `tokenizer_class: "Qwen2Tokenizer"` | Qwen3 intentionally reuses Qwen2Tokenizer (same BPE) |
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| `eos_token_id: [151645, 151643]` | Matches official Qwen3 generation config |
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---
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## Verification
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```python
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from transformers import pipeline
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import torch
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pipe = pipeline(
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"text-generation",
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model="syj4205/broken-model-fixed",
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dtype=torch.bfloat16,
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device_map="auto",
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)
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messages = [{"role": "user", "content": "Who are you?"}]
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result = pipe(messages, max_new_tokens=40)
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print(result[0]["generated_text"][-1]["content"])
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```
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**Output:**
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```
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<think> Okay, the user asked, "Who are you?" I need to respond in a friendly and
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informative way. Let me start by introducing my name, Qwen...</think>
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I'm Qwen, a large language model developed by Alibaba Cloud.
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```
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config.json
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config.json
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{
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"architectures": [
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"Qwen3ForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 151643,
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"eos_token_id": 151645,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 12288,
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"max_position_embeddings": 40960,
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"max_window_layers": 36,
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"model_type": "qwen3",
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"num_attention_heads": 32,
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"num_hidden_layers": 36,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta": 1000000,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.51.0",
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"use_cache": true,
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"use_sliding_window": false,
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"vocab_size": 151936
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}
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generation_config.json
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{
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"bos_token_id": 151643,
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"do_sample": true,
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"eos_token_id": [
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151645,
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151643
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],
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"pad_token_id": 151643,
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"temperature": 0.6,
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"top_k": 20,
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"top_p": 0.95,
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"transformers_version": "4.51.0"
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}
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BIN
tokenizer.json
(Stored with Git LFS)
Normal file
BIN
tokenizer.json
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Normal file
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239
tokenizer_config.json
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239
tokenizer_config.json
Normal file
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|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151662": {
|
||||
"content": "<|fim_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151663": {
|
||||
"content": "<|repo_name|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151664": {
|
||||
"content": "<|file_sep|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151665": {
|
||||
"content": "<tool_response>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151666": {
|
||||
"content": "</tool_response>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151667": {
|
||||
"content": "<think>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151668": {
|
||||
"content": "</think>",
|
||||
"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|>"
|
||||
],
|
||||
"bos_token": null,
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null,
|
||||
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n {%- endif %}\n {{- 'You have access to the following functions:\\n\\n' }}\n {%- for tool in tools %}\n {{- tool | tojson(indent=4) }}\n {{- '\\n\\n' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n{%- elif messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n{%- endif %}\n{%- set ns = namespace(last_query_index=0) %}\n{%- for message in messages %}\n {%- if message.role == 'user' %}\n {%- set ns.last_query_index = loop.index0 %}\n {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n {%- if message.role in ['system'] %}\n {%- if tools or (loop.index0 == 0) %}\n {%- continue %}\n {%- endif %}\n {%- endif %}\n {%- if message.role == 'user' %}\n {{- '<|im_start|>user\\n' + message.content + '<|im_end|>\\n' }}\n {%- elif message.role == 'assistant' %}\n {%- set content = message.content %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is defined and message.reasoning_content is not none %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '<think>' in content and '</think>' in content %}\n {%- set reasoning_content = content.split('<think>')[1].split('</think>')[0] %}\n {%- set content = content.split('</think>')[-1].lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- if loop.index0 > ns.last_query_index %}\n {%- if loop.last or (not loop.last and reasoning_content) %}\n {{- '<|im_start|>assistant\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n {%- else %}\n {{- '<|im_start|>assistant\\n' + content }}\n {%- endif %}\n {%- else %}\n {{- '<|im_start|>assistant\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' + tool_call.name + '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == 'tool' %}\n {{- '<|im_start|>user\\n<tool_response>\\n' + message.content + '\\n</tool_response>\\n<|im_end|>\\n' }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {%- if enable_thinking is defined and enable_thinking is false %}\n {{- '<|im_start|>assistant\\n<think>\\n\\n</think>\\n\\n' }}\n {%- else %}\n {{- '<|im_start|>assistant\\n' }}\n {%- endif %}\n{%- endif %}"
|
||||
}
|
||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user