Instructions to use mrm8488/stablelm2-1.6b-ft-openhermes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mrm8488/stablelm2-1.6b-ft-openhermes with Transformers:

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

pipe = pipeline("text-generation", model="mrm8488/stablelm2-1.6b-ft-openhermes", trust_remote_code=True)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("mrm8488/stablelm2-1.6b-ft-openhermes", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use mrm8488/stablelm2-1.6b-ft-openhermes with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "mrm8488/stablelm2-1.6b-ft-openhermes"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "mrm8488/stablelm2-1.6b-ft-openhermes",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/mrm8488/stablelm2-1.6b-ft-openhermes

SGLang

How to use mrm8488/stablelm2-1.6b-ft-openhermes 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 "mrm8488/stablelm2-1.6b-ft-openhermes" \
    --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": "mrm8488/stablelm2-1.6b-ft-openhermes",
		"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 "mrm8488/stablelm2-1.6b-ft-openhermes" \
        --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": "mrm8488/stablelm2-1.6b-ft-openhermes",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use mrm8488/stablelm2-1.6b-ft-openhermes with Docker Model Runner:
```
docker model run hf.co/mrm8488/stablelm2-1.6b-ft-openhermes
```

Stablelm2- (1.6b) fine-tuned on OpenHermes

Base model info

Stable LM 2 1.6B is a 1.6 billion parameter decoder-only language model pre-trained on 2 trillion tokens of diverse multilingual and code datasets for two epochs.

Dataset info

The OpenHermes dataset is composed of 242,000 entries of primarily GPT-4 generated data from open datasets across the AI landscape, including:

OpenHermes 13B is the first fine tune of the Hermes dataset that has a fully open source dataset!

OpenHermes was trained on 242,000 entries of primarily GPT-4 generated data from open datasets across the AI landscape, including:

GPTeacher - General Instruct, Roleplay v1, Roleplay v2, and Code Instruct Datasets, by Teknium
WizardLM (v1, evol_instruct 70k), by WizardLM Team/nlpxucan
Airoboros GPT-4 (v1.0), by JonDurbin
Camel-AI's domain expert datasets, by the Camel-AI Team
CodeAlpaca, by Sahil2801
GPT4-LLM and Unnatural Instructions, by Microsoft Filtering included the removal of OpenAI refusals, disclaimers, and "As an AI" type examples and more The base dataset mix is identical to the original Nous-Hermes', minus the Nous-Instruct and PDACTL datasets which were private datasets.

Usage

WIP

Evaluations

WIP

Downloads last month: 5

Safetensors

Model size

2B params

Tensor type

BF16

mrm8488
/

stablelm2-1.6b-ft-openhermes

Stablelm2- (1.6b) fine-tuned on OpenHermes

Base model info

Dataset info

Usage

Evaluations

Dataset used to train mrm8488/stablelm2-1.6b-ft-openhermes