Instructions to use RichardErkhov/meta-llama_-_CodeLlama-34b-Python-hf-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use RichardErkhov/meta-llama_-_CodeLlama-34b-Python-hf-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 RichardErkhov/meta-llama_-_CodeLlama-34b-Python-hf-gguf:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf RichardErkhov/meta-llama_-_CodeLlama-34b-Python-hf-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 RichardErkhov/meta-llama_-_CodeLlama-34b-Python-hf-gguf:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf RichardErkhov/meta-llama_-_CodeLlama-34b-Python-hf-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 RichardErkhov/meta-llama_-_CodeLlama-34b-Python-hf-gguf:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf RichardErkhov/meta-llama_-_CodeLlama-34b-Python-hf-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 RichardErkhov/meta-llama_-_CodeLlama-34b-Python-hf-gguf:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf RichardErkhov/meta-llama_-_CodeLlama-34b-Python-hf-gguf:Q4_K_M

Use Docker

docker model run hf.co/RichardErkhov/meta-llama_-_CodeLlama-34b-Python-hf-gguf:Q4_K_M

LM Studio
Jan
Ollama
How to use RichardErkhov/meta-llama_-_CodeLlama-34b-Python-hf-gguf with Ollama:
```
ollama run hf.co/RichardErkhov/meta-llama_-_CodeLlama-34b-Python-hf-gguf:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use RichardErkhov/meta-llama_-_CodeLlama-34b-Python-hf-gguf with Docker Model Runner:
```
docker model run hf.co/RichardErkhov/meta-llama_-_CodeLlama-34b-Python-hf-gguf:Q4_K_M
```

Lemonade

How to use RichardErkhov/meta-llama_-_CodeLlama-34b-Python-hf-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull RichardErkhov/meta-llama_-_CodeLlama-34b-Python-hf-gguf:Q4_K_M

Run and chat with the model

lemonade run user.meta-llama_-_CodeLlama-34b-Python-hf-gguf-Q4_K_M

List all available models

lemonade list

Atomic Chat

RichardErkhov commited on Sep 26, 2024

Commit

7ed2eb5

verified ·

1 Parent(s): dbd42ab

uploaded model

Browse files

Files changed (2) hide show

.gitattributes +1 -0
CodeLlama-34b-Python-hf.IQ4_XS.gguf +3 -0

.gitattributes CHANGED Viewed

@@ -41,3 +41,4 @@ CodeLlama-34b-Python-hf.IQ3_M.gguf filter=lfs diff=lfs merge=lfs -text
 CodeLlama-34b-Python-hf.Q3_K.gguf filter=lfs diff=lfs merge=lfs -text
 CodeLlama-34b-Python-hf.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
 CodeLlama-34b-Python-hf.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text

 CodeLlama-34b-Python-hf.Q3_K.gguf filter=lfs diff=lfs merge=lfs -text
 CodeLlama-34b-Python-hf.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
 CodeLlama-34b-Python-hf.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+CodeLlama-34b-Python-hf.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text

CodeLlama-34b-Python-hf.IQ4_XS.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:51b055182e5e74ace8670c24ab004f95f60776e0cd1f8fa4489cf795f898705c
+size 18237764288