Instructions to use cs-552-2026-databand/general_knowledge_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use cs-552-2026-databand/general_knowledge_model with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="cs-552-2026-databand/general_knowledge_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-databand/general_knowledge_model")
model = AutoModelForCausalLM.from_pretrained("cs-552-2026-databand/general_knowledge_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-databand/general_knowledge_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-databand/general_knowledge_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-databand/general_knowledge_model",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/cs-552-2026-databand/general_knowledge_model

SGLang

How to use cs-552-2026-databand/general_knowledge_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-databand/general_knowledge_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-databand/general_knowledge_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-databand/general_knowledge_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-databand/general_knowledge_model",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use cs-552-2026-databand/general_knowledge_model with Docker Model Runner:
```
docker model run hf.co/cs-552-2026-databand/general_knowledge_model
```

zechen-nlp commited on May 22

Commit

0c500dc

verified ·

1 Parent(s): 8a0cbd6

Update Automated MNLP evaluation report (2026-05-22)

Browse files

Files changed (1) hide show

EVAL_REPORT.md +47 -11

EVAL_REPORT.md CHANGED Viewed

@@ -2,7 +2,7 @@
 - **Model repo:** [`cs-552-2026-databand/general_knowledge_model`](https://huggingface.co/cs-552-2026-databand/general_knowledge_model)
 - **Owner(s):** group **databand**
-- **Generated at:** 2026-05-21T03:28:21+00:00 (UTC)
 - **Pipeline:** [mnlp-project-ci](https://github.com/eric11eca/mnlp-project-ci)
 _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._
@@ -12,16 +12,52 @@ _This PR is opened automatically by the course CI. It is **non-blocking** — yo
 | Benchmark | Accuracy | Status |
 |---|---:|---|
 | Math | — | not run |
-| Knowledge | — | error (generation_config) |
 | Multilingual | — | not run |
 | Safety | — | not run |
-## Errors
-### knowledge — `generation_config`
-```
-generation_config.json not found: 404 Client Error. (Request ID: Root=1-6a0bd330-604b8bba316e66fc50778221;46d1d6c5-d36b-4fc1-b471-648fae837338)
-Entry Not Found for url: https://huggingface.co/cs-552-2026-databand/general_knowledge_model/resolve/main/generation_config.json.
-```

 - **Model repo:** [`cs-552-2026-databand/general_knowledge_model`](https://huggingface.co/cs-552-2026-databand/general_knowledge_model)
 - **Owner(s):** group **databand**
+- **Generated at:** 2026-05-22T03:04:12+00:00 (UTC)
 - **Pipeline:** [mnlp-project-ci](https://github.com/eric11eca/mnlp-project-ci)
 _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._
 | Benchmark | Accuracy | Status |
 |---|---:|---|
 | Math | — | not run |
+| Knowledge | 0.2200 | ok |
 | Multilingual | — | not run |
 | Safety | — | not run |
+## Sample completions
+_Prompts are intentionally omitted to avoid revealing benchmark contents. For multi-completion problems, only one completion is shown per sample._
+### Knowledge
+**Correct** (1 shown)
+- **reference**: `B`
+- **overall** (1/1 completions correct)
+- **extracted** (✓): `B`
+- **completion**:
+    ```text
+    final answer will be \boxed{B}.
+    The municipal bonds offer a higher interest rate (4.5%) compared to the corporate bonds (8%), and municipal bonds are tax-exempt, making them more attractive in the 50% tax bracket.
+    \boxed{B}
+    ```
+**Incorrect** (1 shown)
+- **reference**: `J`
+- **overall** (0/1 completions correct)
+- **extracted** (✗): `ANSWER`
+- **completion**:
+    ```text
+    final answer will be \boxed{ANSWER}.
+    Subproblem: Determine the admissibility of the former employee's testimony.
+    The testimony is about the manufacturer's new design three weeks after the injury. This is not evidence of knowledge of defect, but rather a statement about the manufacturer's actions.
+    The key is whether the testimony is admissible as evidence.
+    The testimony is not evidence of t
+    ... [truncated 823 chars] ...
+    y is not a statement of fact about the manufacturer's knowledge, but rather a statement about the manufacturer's actions.
+    The testimony is not a statement of fact about the manufacturer's knowledge, but rather a statement about the manufacturer's actions.
+    The testimony is not a statement of fact about the manufacturer's knowledge, but rather a statement about the manufacturer's actions.
+    The testimony is not a statement of fact about the manufacturer's knowledge, but rather a statement about the manufacturer's actions.
+    The testimony is not a statement of fact about the manufacturer's knowledge, but rather a statement about the manufacturer's actions.
+    The testimony is not a statement of fact about the manufacturer's knowledge, but rather a statement about the manufacturer's actions.
+    The testimony is not a statement of fact about the manufacturer's knowledge, but rather a statement about the manufacturer's actions.
+    The testimony is not a statement of fact about the manufacturer's knowledge, but rather a statement about the manufacturer's actions.
+    The testimony is not a statement of fact about the manufacturer's knowledge, but rather a statement about the manufacturer's
+    ```