Text Generation
Transformers
Safetensors
qwen3
Generated from Trainer
trl
sft
conversational
text-generation-inference
Instructions to use cs-552-2026-MandMP/math_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cs-552-2026-MandMP/math_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="cs-552-2026-MandMP/math_model") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("cs-552-2026-MandMP/math_model") model = AutoModelForCausalLM.from_pretrained("cs-552-2026-MandMP/math_model", device_map="auto") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use cs-552-2026-MandMP/math_model with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "cs-552-2026-MandMP/math_model" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "cs-552-2026-MandMP/math_model", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/cs-552-2026-MandMP/math_model
- SGLang
How to use cs-552-2026-MandMP/math_model with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "cs-552-2026-MandMP/math_model" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "cs-552-2026-MandMP/math_model", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "cs-552-2026-MandMP/math_model" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "cs-552-2026-MandMP/math_model", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use cs-552-2026-MandMP/math_model with Docker Model Runner:
docker model run hf.co/cs-552-2026-MandMP/math_model
Automated MNLP evaluation report (2026-05-13)
#1
by zechen-nlp - opened
- EVAL_REPORT.md +59 -0
EVAL_REPORT.md
ADDED
|
@@ -0,0 +1,59 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Automated MNLP evaluation report
|
| 2 |
+
|
| 3 |
+
- **Model repo:** [`cs-552-2026-MandMP/math_model`](https://huggingface.co/cs-552-2026-MandMP/math_model)
|
| 4 |
+
- **Owner(s):** group **MandMP**
|
| 5 |
+
- **Generated at:** 2026-05-13T04:17:52+00:00 (UTC)
|
| 6 |
+
- **Pipeline:** [mnlp-project-ci](https://github.com/eric11eca/mnlp-project-ci)
|
| 7 |
+
|
| 8 |
+
_This PR is opened automatically by the course CI. It is **non-blocking** — you do not need to merge it. The next nightly run will refresh this file._
|
| 9 |
+
|
| 10 |
+
## Summary
|
| 11 |
+
|
| 12 |
+
| Benchmark | Accuracy | Status |
|
| 13 |
+
|---|---:|---|
|
| 14 |
+
| Math | 0.2000 | ok |
|
| 15 |
+
| Knowledge | — | not run |
|
| 16 |
+
| Multilingual | — | not run |
|
| 17 |
+
| Safety | — | not run |
|
| 18 |
+
|
| 19 |
+
## Sample completions
|
| 20 |
+
|
| 21 |
+
_Prompts are intentionally omitted to avoid revealing benchmark contents. For multi-completion problems, only one completion is shown per sample._
|
| 22 |
+
|
| 23 |
+
### Math
|
| 24 |
+
|
| 25 |
+
**Correct** (1 shown)
|
| 26 |
+
|
| 27 |
+
- **reference**: `0`
|
| 28 |
+
- **overall** (3/8 completions correct)
|
| 29 |
+
- **extracted** (✓): `0`
|
| 30 |
+
- **completion**:
|
| 31 |
+
|
| 32 |
+
```text
|
| 33 |
+
<think>
|
| 34 |
+
|
| 35 |
+
</think>
|
| 36 |
+
|
| 37 |
+
The polynomial $p(x)$ is equal to $\frac{1}{2}$ when $x=a$, $x=b$, and $x=c$. Thus, $p(x)$ is a constant polynomial and the degree is $\boxed{0}$.
|
| 38 |
+
```
|
| 39 |
+
|
| 40 |
+
**Incorrect** (1 shown)
|
| 41 |
+
|
| 42 |
+
- **reference**: `$(n-2)2^n +1$`
|
| 43 |
+
- **overall** (0/8 completions correct)
|
| 44 |
+
- **extracted** (✗): `2^{2^m} - 1`
|
| 45 |
+
- **completion**:
|
| 46 |
+
|
| 47 |
+
```text
|
| 48 |
+
<think>
|
| 49 |
+
|
| 50 |
+
</think>
|
| 51 |
+
|
| 52 |
+
Let $C_n$ be the set of numbers we are trying to sum. Then $2^n - 2^i = 2^i (2^{n - i} - 1)$, so each element of $C_n$ is a multiple of $2^i$ for some $i$ (and in particular, for $i = 0$).
|
| 53 |
+
|
| 54 |
+
If $n$ is a power of 2, say $n = 2^m$, then $2^{2^m} - 2^{2^m - 1} = 2^{2^m - 1} (2 - 1) = 2^{2^m - 1}$, and all elements of $C_n$ are multiples of $2^{2^m - 1}$. Thus the largest number not in $C_n$ is $2^{2^m - 1} - 1$.
|
| 55 |
+
|
| 56 |
+
If $n$ is not a power of 2, then $n = 2^m + 1$ for some $m$. Then $2^{2^m + 1} - 2^{2^m} = 2^{2^m} (2 - 1) = 2^{2^m}$, and all elements of $C_n$ are multiples of $2^{2^m}$. Thus the largest number not in $C_n$ is $2^{2^m} - 1$.
|
| 57 |
+
|
| 58 |
+
Hence the answer is $\boxed{2^{2^m} - 1}$, where $n = 2^m + 1$.
|
| 59 |
+
```
|