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Model: syj4205/broken-model-fixed
Source: Original Platform

README.md

@@ -0,0 +1,84 @@
+---
+library_name: transformers
+pipeline_tag: text-generation
+base_model:
+- Qwen/Qwen3-8B
+---
+
+# Qwen3-8B Fixed Model
+
+This repository is a fixed version of [yunmorning/broken-model](https://huggingface.co/yunmorning/broken-model).  
+The original model could not be used to run a functional `/chat/completions` API server due to two critical issues.
+
+---
+
+## Changes Made
+
+### Fix 1: Added `chat_template` to `tokenizer_config.json`
+
+**Before:** `chat_template` field did not exist  
+**After:** Added official Qwen3 Jinja2 chat template
+
+**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.
+
+---
+
+### Fix 2: Corrected shard mapping in `model.safetensors.index.json`
+
+**Before:** Layer 7's `q_proj`, `k_proj`, `v_proj` pointed to wrong shard  
+**After:** Corrected to the right shard
+
+| Tensor | Before | After |
+|--------|--------|-------|
+| `model.layers.7.self_attn.q_proj.weight` | `model-00001-of-00005.safetensors` | `model-00002-of-00005.safetensors` |
+| `model.layers.7.self_attn.k_proj.weight` | `model-00001-of-00005.safetensors` | `model-00002-of-00005.safetensors` |
+| `model.layers.7.self_attn.v_proj.weight` | `model-00001-of-00005.safetensors` | `model-00002-of-00005.safetensors` |
+
+**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.
+
+---
+
+### Fix 3: Corrected `base_model` metadata in `README.md`
+
+**Before:** `base_model: meta-llama/Meta-Llama-3.1-8B`  
+**After:** `base_model: Qwen/Qwen3-8B`
+
+**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.
+
+---
+
+## What Was NOT Changed
+
+| Item | Reason |
+|------|--------|
+| `config.json` | All architecture values match Qwen3-8B spec exactly |
+| `tokenizer_class: "Qwen2Tokenizer"` | Qwen3 intentionally reuses Qwen2Tokenizer (same BPE) |
+| `eos_token_id: [151645, 151643]` | Matches official Qwen3 generation config |
+
+---
+
+## Verification
+
+```python
+from transformers import pipeline
+import torch
+
+pipe = pipeline(
+    "text-generation",
+    model="syj4205/broken-model-fixed",
+    dtype=torch.bfloat16,
+    device_map="auto",
+)
+
+messages = [{"role": "user", "content": "Who are you?"}]
+result = pipe(messages, max_new_tokens=40)
+print(result[0]["generated_text"][-1]["content"])
+```
+
+**Output:**
+
+```
+<think> Okay, the user asked, "Who are you?" I need to respond in a friendly and
+informative way. Let me start by introducing my name, Qwen...</think>
+I'm Qwen, a large language model developed by Alibaba Cloud.
+```