Instructions to use Corianas/256_5epoch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Corianas/256_5epoch with Transformers:

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

pipe = pipeline("text-generation", model="Corianas/256_5epoch")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Corianas/256_5epoch")
model = AutoModelForCausalLM.from_pretrained("Corianas/256_5epoch")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use Corianas/256_5epoch with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Corianas/256_5epoch"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Corianas/256_5epoch",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Corianas/256_5epoch

SGLang

How to use Corianas/256_5epoch 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 "Corianas/256_5epoch" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Corianas/256_5epoch",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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 "Corianas/256_5epoch" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Corianas/256_5epoch",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Corianas/256_5epoch with Docker Model Runner:
```
docker model run hf.co/Corianas/256_5epoch
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	25.35
ARC (25-shot)	22.27
HellaSwag (10-shot)	28.99
MMLU (5-shot)	26.62
TruthfulQA (0-shot)	41.71
Winogrande (5-shot)	52.72
GSM8K (5-shot)	0.23
DROP (3-shot)	4.93

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Safetensors

Model size

0.3B params

Tensor type

BF16

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Quantizations

2 models

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256_5epoch

Open LLM Leaderboard Evaluation Results

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