cs-552-2026-middle-west/math_model
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Model: cs-552-2026-middle-west/math_model
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2026-05-24 05:13:19 +08:00
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---
library_name: transformers
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen3-1.7B/blob/main/LICENSE
pipeline_tag: text-generation
base_model:
- Qwen/Qwen3-1.7B
---
# CS-552 Middle West Math Model
This checkpoint is the math-specialized CS-552 model for
`cs-552-2026-middle-west/math_model`. It starts from `Qwen/Qwen3-1.7B` and keeps the model weights in
safetensors format at the repository root for vLLM compatibility.
## Intended Evaluation
The course CI evaluates this repository on the math benchmark. Prompts are
rendered with the tokenizer chat template via:
```python
tokenizer.apply_chat_template(messages, add_generation_prompt=True)
```
The template injects a math-focused system prompt when no system message is
provided and asks the model to place its final answer in `\boxed{...}`.
## Generation
- Thinking mode: enabled in the chat template.
- Temperature: 0.6
- Top-p: 0.95
- Top-k: 20
- Repetition penalty: 1.0
- Max new tokens: 3584
## Files
- `model.safetensors`: model weights
- `config.json`: model configuration
- `generation_config.json`: course sampling defaults
- `tokenizer_config.json`, `tokenizer.json`, `vocab.json`, `merges.txt`:
tokenizer assets
- `chat_template.jinja`: math prompt and Qwen3 thinking-mode chat template

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{%- set enable_thinking = false %}
{%- set boxed_instruction = "You are a mathematical reasoning model. Think step by step before giving your final answer. Break the problem into clear intermediate steps, showing all key calculations and logical deductions. Verify your answer by checking it satisfies the original conditions. Return the final answer in exact form whenever possible. Put only the final answer inside a LaTeX \\boxed{} expression — no explanations, units, or multiple answers inside the box unless the problem explicitly requires them." %}
{%- if messages|length > 0 and messages[0]['role'] == 'system' %}
{%- set system_message = boxed_instruction + "\n\n" + messages[0]['content'] %}
{%- set loop_messages = messages[1:] %}
{%- else %}
{%- set system_message = boxed_instruction %}
{%- set loop_messages = messages %}
{%- endif %}
{{- '<|im_start|>system\n' + system_message + '<|im_end|>\n' }}
{%- for message in loop_messages %}
{{- '<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>\n' }}
{%- endfor %}
{%- if add_generation_prompt %}
{{- '<|im_start|>assistant\n' }}
{%- if not enable_thinking %}
{{- '<think>\n\n</think>\n\n' }}
{%- endif %}
{%- endif %}

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{
"architectures": [
"Qwen3ForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"bos_token_id": 151643,
"dtype": "float16",
"eos_token_id": 151645,
"head_dim": 128,
"hidden_act": "silu",
"hidden_size": 2048,
"initializer_range": 0.02,
"intermediate_size": 6144,
"layer_types": [
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention"
],
"max_position_embeddings": 40960,
"max_window_layers": 28,
"model_type": "qwen3",
"num_attention_heads": 16,
"num_hidden_layers": 28,
"num_key_value_heads": 8,
"rms_norm_eps": 1e-06,
"rope_scaling": null,
"rope_theta": 1000000,
"sliding_window": null,
"tie_word_embeddings": true,
"transformers_version": "4.57.3",
"use_cache": true,
"use_sliding_window": false,
"vocab_size": 151936
}

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{
"bos_token_id": 151643,
"do_sample": true,
"eos_token_id": [
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],
"max_new_tokens": 3584,
"pad_token_id": 151643,
"temperature": 0.6,
"top_k": 20,
"top_p": 0.95,
"transformers_version": "4.57.3"
}

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{
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],
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"clean_up_tokenization_spaces": false,
"eos_token": "<|im_end|>",
"errors": "replace",
"extra_special_tokens": {},
"model_max_length": 131072,
"pad_token": "<|endoftext|>",
"split_special_tokens": false,
"tokenizer_class": "Qwen2Tokenizer",
"unk_token": null
}

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