Transformers
GGUF
PyTorch
English
facebook
meta
llama
llama-2
function-calling
function calling
imatrix
conversational
Instructions to use mradermacher/Llama-2-7b-chat-hf-function-calling-v3-i1-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mradermacher/Llama-2-7b-chat-hf-function-calling-v3-i1-GGUF with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mradermacher/Llama-2-7b-chat-hf-function-calling-v3-i1-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use mradermacher/Llama-2-7b-chat-hf-function-calling-v3-i1-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 mradermacher/Llama-2-7b-chat-hf-function-calling-v3-i1-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf mradermacher/Llama-2-7b-chat-hf-function-calling-v3-i1-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf mradermacher/Llama-2-7b-chat-hf-function-calling-v3-i1-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf mradermacher/Llama-2-7b-chat-hf-function-calling-v3-i1-GGUF:Q4_K_M
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf mradermacher/Llama-2-7b-chat-hf-function-calling-v3-i1-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf mradermacher/Llama-2-7b-chat-hf-function-calling-v3-i1-GGUF:Q4_K_M
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf mradermacher/Llama-2-7b-chat-hf-function-calling-v3-i1-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf mradermacher/Llama-2-7b-chat-hf-function-calling-v3-i1-GGUF:Q4_K_M
Use Docker
docker model run hf.co/mradermacher/Llama-2-7b-chat-hf-function-calling-v3-i1-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use mradermacher/Llama-2-7b-chat-hf-function-calling-v3-i1-GGUF with Ollama:
ollama run hf.co/mradermacher/Llama-2-7b-chat-hf-function-calling-v3-i1-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use mradermacher/Llama-2-7b-chat-hf-function-calling-v3-i1-GGUF with Docker Model Runner:
docker model run hf.co/mradermacher/Llama-2-7b-chat-hf-function-calling-v3-i1-GGUF:Q4_K_M
- Lemonade
How to use mradermacher/Llama-2-7b-chat-hf-function-calling-v3-i1-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull mradermacher/Llama-2-7b-chat-hf-function-calling-v3-i1-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Llama-2-7b-chat-hf-function-calling-v3-i1-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Llama-2-7b-chat-hf-function-calling-v3-i1-GGUF / Llama-2-7b-chat-hf-function-calling-v3.i1-Q6_K.gguf
Download Llama-2-7b-chat-hf-function-calling-v3.i1-Q6_K.gguf from mradermacher/Llama-2-7b-chat-hf-function-calling-v3-i1-GGUF: direct link, hf CLI and curl.
- Browser
- Download file 5.53 GB
-
https://huggingface.co/mradermacher/Llama-2-7b-chat-hf-function-calling-v3-i1-GGUF/resolve/main/Llama-2-7b-chat-hf-function-calling-v3.i1-Q6_K.gguf
- Command line
-
hf download hf://mradermacher/Llama-2-7b-chat-hf-function-calling-v3-i1-GGUF/Llama-2-7b-chat-hf-function-calling-v3.i1-Q6_K.gguf
-
curl -L -o Llama-2-7b-chat-hf-function-calling-v3.i1-Q6_K.gguf https://huggingface.co/mradermacher/Llama-2-7b-chat-hf-function-calling-v3-i1-GGUF/resolve/main/Llama-2-7b-chat-hf-function-calling-v3.i1-Q6_K.gguf
5.53 GB
- Xet hash:
- bbf7f06dc967b5695e60d041fd1b283c898d4b962a0e0f55bb369ade98e600bf
- Size of remote file:
- 5.53 GB
- SHA256:
- 3ae2d83d7544be6e72d24db604dc00b071a315fe86b0a715da4ae19c8fc8737f
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