Instructions to use bartowski/emma-500-llama2-7b-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use bartowski/emma-500-llama2-7b-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 bartowski/emma-500-llama2-7b-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf bartowski/emma-500-llama2-7b-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 bartowski/emma-500-llama2-7b-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf bartowski/emma-500-llama2-7b-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 bartowski/emma-500-llama2-7b-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf bartowski/emma-500-llama2-7b-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 bartowski/emma-500-llama2-7b-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf bartowski/emma-500-llama2-7b-GGUF:Q4_K_M
Use Docker
docker model run hf.co/bartowski/emma-500-llama2-7b-GGUF:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use bartowski/emma-500-llama2-7b-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "bartowski/emma-500-llama2-7b-GGUF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "bartowski/emma-500-llama2-7b-GGUF", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/bartowski/emma-500-llama2-7b-GGUF:Q4_K_M
- Ollama
How to use bartowski/emma-500-llama2-7b-GGUF with Ollama:
ollama run hf.co/bartowski/emma-500-llama2-7b-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use bartowski/emma-500-llama2-7b-GGUF with Docker Model Runner:
docker model run hf.co/bartowski/emma-500-llama2-7b-GGUF:Q4_K_M
- Lemonade
How to use bartowski/emma-500-llama2-7b-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull bartowski/emma-500-llama2-7b-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.emma-500-llama2-7b-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Upload emma-500-llama2-7b-Q4_0_4_4.gguf with huggingface_hub
Browse files- .gitattributes +1 -0
- emma-500-llama2-7b-Q4_0_4_4.gguf +3 -0
.gitattributes
CHANGED
|
@@ -44,3 +44,4 @@ emma-500-llama2-7b-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
|
|
| 44 |
emma-500-llama2-7b-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
|
| 45 |
emma-500-llama2-7b-Q4_0_8_8.gguf filter=lfs diff=lfs merge=lfs -text
|
| 46 |
emma-500-llama2-7b-Q4_0_4_8.gguf filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 44 |
emma-500-llama2-7b-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
|
| 45 |
emma-500-llama2-7b-Q4_0_8_8.gguf filter=lfs diff=lfs merge=lfs -text
|
| 46 |
emma-500-llama2-7b-Q4_0_4_8.gguf filter=lfs diff=lfs merge=lfs -text
|
| 47 |
+
emma-500-llama2-7b-Q4_0_4_4.gguf filter=lfs diff=lfs merge=lfs -text
|
emma-500-llama2-7b-Q4_0_4_4.gguf
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1820806d18e72ab28d1cfabc07a1605873fbc1be31a3d2c56393cb0ca8b6b2d8
|
| 3 |
+
size 3825808032
|