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

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README.md

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+---
+base_model: Qwen/Qwen3-8B
+library_name: transformers
+pipeline_tag: text-generation
+---
+
+# broken-model-fixed
+
+This repository is a fixed copy of [yunmorning/broken-model](https://huggingface.co/yunmorning/broken-model), which was reported as unable to serve a functional `/chat/completions` API endpoint.
+
+## Root Cause
+
+The model weights, architecture config, and tokenizer vocabulary are all valid Qwen3-8B artifacts. However, the `tokenizer_config.json` was **missing the `chat_template` field**.
+
+The `chat_template` is a Jinja2 template that tells inference servers (vLLM, TGI, FriendliAI, etc.) how to convert a list of chat messages (`[{"role": "user", "content": "Hello"}]`) into the model's expected prompt format (ChatML with `<|im_start|>`/`<|im_end|>` delimiters). Without it, any `/chat/completions` request fails with:
+
+```
+ValueError: Cannot use chat template functions because tokenizer.chat_template is not set
+```
+
+## Changes Made
+
+### 1. `tokenizer_config.json` — added `chat_template` (critical fix)
+
+Added the standard Qwen3-8B chat template (4168 characters) from the reference model [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B). This was the **only** field missing; all other tokenizer config values were already correct and identical to the reference.
+
+The template handles:
+- System, user, and assistant message formatting using ChatML (`<|im_start|>`/`<|im_end|>`)
+- Tool/function calling via `<tool_call>` and `<tool_response>` tags
+- Reasoning/thinking blocks via `<think>` tags
+- Generation prompt injection for inference
+
+### 2. `README.md` — corrected `base_model` metadata
+
+The original README declared `base_model: meta-llama/Llama-3.1-8B`, but the model is actually Qwen3-8B based on:
+- `config.json`: `architectures: ["Qwen3ForCausalLM"]`, `model_type: "qwen3"`
+- Weight tensors contain Qwen3-specific layers (`q_norm`, `k_norm`)
+- `tokenizer_config.json`: `tokenizer_class: "Qwen2Tokenizer"`, vocab_size 151936
+- 36 hidden layers and intermediate_size 12288 (matching Qwen3-8B, not Llama-3.1-8B which has 32 layers and intermediate_size 14336)
+
+## Verification on FriendliAI
+
+When importing the **broken** model (`yunmorning/broken-model`) into FriendliAI, both "Tool call" and "Reasoning parser" features were detected as **"Not supported"**, and endpoint creation failed with an internal system error.
+
+After applying the fix, importing `majimenez/broken-model-fixed` into FriendliAI correctly detects both features as **"Supported"**. This is because FriendliAI parses the `chat_template` to detect these capabilities:
+- **Tool call**: the template contains `<tool_call>`/`</tool_call>` and `<tool_response>`/`</tool_response>` formatting logic
+- **Reasoning parser**: the template contains `<think>`/`</think>` block handling with `enable_thinking` support
+
+Without a `chat_template` at all, neither feature can be detected or used.
+
+### End-to-end confirmation
+
+- **Broken model** (`yunmorning/broken-model`): Failed to load entirely on FriendliAI — endpoint creation returned an internal system error.
+- **Fixed model** (`majimenez/broken-model-fixed`): Deployed successfully on FriendliAI and responded correctly to `/chat/completions` requests, producing both reasoning (`<think>` blocks) and body response text.
+
+### Files NOT changed
+
+All other files were verified correct and left unmodified:
+- `config.json` — identical to reference Qwen/Qwen3-8B
+- `generation_config.json` — identical to reference Qwen/Qwen3-8B
+- `tokenizer.json`, `vocab.json`, `merges.txt` — tokenizer vocabulary files
+- `model-*.safetensors` / `model.safetensors.index.json` — model weights

config.json

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+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151645,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 12288,
+  "max_position_embeddings": 40960,
+  "max_window_layers": 36,
+  "model_type": "qwen3",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 36,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.51.0",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

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+    "do_sample": true,
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+    "top_k": 20,
+    "top_p": 0.95,
+    "transformers_version": "4.51.0"
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tokenizer.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
+size 11422654

tokenizer_config.json

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+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
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+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "lstrip": false,
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+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
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+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
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+      "special": true
+    },
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
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+      "special": true
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+      "special": true
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+      "rstrip": false,
+      "single_word": false,
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+      "lstrip": false,
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+      "single_word": false,
+      "special": false
+    },
+    "151658": {
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+      "normalized": false,
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+    },
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+      "rstrip": false,
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+    "151668": {
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+      "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|>"
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+  "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    {{- \"# 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>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\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\" }}\n{%- else %}\n    {%- if messages[0].role == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n    {%- set index = (messages|length - 1) - loop.index0 %}\n    {%- 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>')) %}\n        {%- set ns.multi_step_tool = false %}\n        {%- set ns.last_query_index = index %}\n    {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n    {%- if message.content is string %}\n        {%- set content = message.content %}\n    {%- else %}\n        {%- set content = '' %}\n    {%- endif %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n        {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {%- set reasoning_content = '' %}\n        {%- if message.reasoning_content is string %}\n            {%- set reasoning_content = message.reasoning_content %}\n        {%- else %}\n            {%- if '</think>' in content %}\n                {%- set reasoning_content = content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\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|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n            {%- else %}\n                {{- '<|im_start|>' + message.role + '\\n' + content }}\n            {%- endif %}\n        {%- else %}\n            {{- '<|im_start|>' + message.role + '\\n' + content }}\n        {%- endif %}\n        {%- if message.tool_calls %}\n            {%- for tool_call in message.tool_calls %}\n                {%- if (loop.first and content) or (not loop.first) %}\n                    {{- '\\n' }}\n                {%- endif %}\n                {%- if tool_call.function %}\n                    {%- set tool_call = tool_call.function %}\n                {%- endif %}\n                {{- '<tool_call>\\n{\"name\": \"' }}\n                {{- tool_call.name }}\n                {{- '\", \"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        {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n    {%- if enable_thinking is defined and enable_thinking is false %}\n        {{- '<think>\\n\\n</think>\\n\\n' }}\n    {%- endif %}\n{%- endif %}"
+}