Instructions to use Conv-MLOps/chat_model_gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Conv-MLOps/chat_model_gguf with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Conv-MLOps/chat_model_gguf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Conv-MLOps/chat_model_gguf with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf Conv-MLOps/chat_model_gguf:Q8_0 # Run inference directly in the terminal: llama cli -hf Conv-MLOps/chat_model_gguf:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Conv-MLOps/chat_model_gguf:Q8_0 # Run inference directly in the terminal: llama cli -hf Conv-MLOps/chat_model_gguf:Q8_0
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf Conv-MLOps/chat_model_gguf:Q8_0 # Run inference directly in the terminal: ./build/bin/llama cli -hf Conv-MLOps/chat_model_gguf:Q8_0
Use Docker
docker model run hf.co/Conv-MLOps/chat_model_gguf:Q8_0
- Llama new
- LM Studio
- Jan
- Ollama
How to use Conv-MLOps/chat_model_gguf with Ollama:
ollama run hf.co/Conv-MLOps/chat_model_gguf:Q8_0
- Unsloth Desktop
- Docker Model Runner
How to use Conv-MLOps/chat_model_gguf with Docker Model Runner:
docker model run hf.co/Conv-MLOps/chat_model_gguf:Q8_0
- Lemonade
How to use Conv-MLOps/chat_model_gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Conv-MLOps/chat_model_gguf:Q8_0
Run and chat with the model
lemonade run user.chat_model_gguf-Q8_0
List all available models
lemonade list
- Atomic Chat
Download Modelfile from Conv-MLOps/chat_model_gguf: direct link, hf CLI and curl.
- Browser
- Download file 562 Bytes
-
https://huggingface.co/Conv-MLOps/chat_model_gguf/resolve/main/Modelfile
- Command line
-
hf download hf://Conv-MLOps/chat_model_gguf/Modelfile
-
curl -L -o Modelfile https://huggingface.co/Conv-MLOps/chat_model_gguf/resolve/main/Modelfile
562 Bytes
| FROM ./Conv-MLOps/chat_model_gguf/unsloth.Q8_0.gguf | |
| TEMPLATE """Below are some instructions that describe some tasks. Write responses that appropriately complete each request.{{ if .Prompt }} | |
| ### Instruction: | |
| {{ .Prompt }}{{ end }} | |
| ### Response: | |
| {{ .Response }}<|end_of_text|>""" | |
| PARAMETER stop "<|eom_id|>" | |
| PARAMETER stop "<|end_header_id|>" | |
| PARAMETER stop "<|eot_id|>" | |
| PARAMETER stop "<|start_header_id|>" | |
| PARAMETER stop "<|python_tag|>" | |
| PARAMETER stop "<|finetune_right_pad_id|>" | |
| PARAMETER stop "<|end_of_text|>" | |
| PARAMETER stop "<|reserved_special_token_" |