Instructions to use ipetrukha/CodeLlama-34b-Instruct-hf-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use ipetrukha/CodeLlama-34b-Instruct-hf-4bit with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("ipetrukha/CodeLlama-34b-Instruct-hf-4bit") prompt = "Write a story about Einstein" messages = [{"role": "user", "content": prompt}] prompt = tokenizer.apply_chat_template( messages, add_generation_prompt=True ) text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use ipetrukha/CodeLlama-34b-Instruct-hf-4bit with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "ipetrukha/CodeLlama-34b-Instruct-hf-4bit"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "ipetrukha/CodeLlama-34b-Instruct-hf-4bit" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ipetrukha/CodeLlama-34b-Instruct-hf-4bit", "messages": [ {"role": "user", "content": "Hello"} ] }' - Atomic Chat
2ebc7af6b4661b1e267d4df6928e029cb03556270c0fa0fe7f212718d8d27300
Browse files
model-00001-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d7a486f5f362aa4331e735e23aeda5e74db98a211cefc56c63dbf4fc4d1b32bd
|
| 3 |
+
size 5293542335
|