Text Generation
Transformers
Safetensors
mistral
Merge
mergekit
lazymergekit
MSL7/INEX12-7b
liminerity/i
text-generation-inference
Instructions to use MSL7/INEX16-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MSL7/INEX16-7b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="MSL7/INEX16-7b")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("MSL7/INEX16-7b") model = AutoModelForCausalLM.from_pretrained("MSL7/INEX16-7b") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use MSL7/INEX16-7b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "MSL7/INEX16-7b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "MSL7/INEX16-7b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/MSL7/INEX16-7b
- SGLang
How to use MSL7/INEX16-7b 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 "MSL7/INEX16-7b" \ --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": "MSL7/INEX16-7b", "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 "MSL7/INEX16-7b" \ --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": "MSL7/INEX16-7b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use MSL7/INEX16-7b with Docker Model Runner:
docker model run hf.co/MSL7/INEX16-7b
INEX-16
INEX-16 is a merge of the following models using mergekit:
🧩 Configuration
slices:
- sources:
- model: MSL7/INEX12-7b
layer_range: [0, 32]
- model: liminerity/i
layer_range: [0, 32]
merge_method: slerp
base_model: MSL7/INEX12-7b
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
dtype: bfloat16
- Downloads last month
- 80
docker model run hf.co/MSL7/INEX16-7b