Instructions to use JaaackXD/Llama-3-8B-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 JaaackXD/Llama-3-8B-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 JaaackXD/Llama-3-8B-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf JaaackXD/Llama-3-8B-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 JaaackXD/Llama-3-8B-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf JaaackXD/Llama-3-8B-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 JaaackXD/Llama-3-8B-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf JaaackXD/Llama-3-8B-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 JaaackXD/Llama-3-8B-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf JaaackXD/Llama-3-8B-GGUF:Q4_K_M
Use Docker
docker model run hf.co/JaaackXD/Llama-3-8B-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use JaaackXD/Llama-3-8B-GGUF with Ollama:
ollama run hf.co/JaaackXD/Llama-3-8B-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use JaaackXD/Llama-3-8B-GGUF with Docker Model Runner:
docker model run hf.co/JaaackXD/Llama-3-8B-GGUF:Q4_K_M
- Lemonade
How to use JaaackXD/Llama-3-8B-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull JaaackXD/Llama-3-8B-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Llama-3-8B-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Directly converted and quantized into GGUF based on llama.cpp (release tag: b2843) from the 'Mata-Llama-3' repo from Meta on Hugging Face.
Including the original LLaMA 3 models file cloning from the Meta HF repo. (https://huggingface.co/meta-llama/Meta-Llama-3-8B)
If you have issues downloading the models from Meta or converting models for llama.cpp, feel free to download this one!
Perplexity table on LLaMA 3 70B
Less perplexity is better. (credit to: dranger003)
| Quantization | Size (GiB) | Perplexity (wiki.test) | Delta (FP16) |
|---|---|---|---|
| IQ1_S | 14.29 | 9.8655 +/- 0.0625 | 248.51% |
| IQ1_M | 15.60 | 8.5193 +/- 0.0530 | 201.94% |
| IQ2_XXS | 17.79 | 6.6705 +/- 0.0405 | 135.64% |
| IQ2_XS | 19.69 | 5.7486 +/- 0.0345 | 103.07% |
| IQ2_S | 20.71 | 5.5215 +/- 0.0318 | 95.05% |
| Q2_K_S | 22.79 | 5.4334 +/- 0.0325 | 91.94% |
| IQ2_M | 22.46 | 4.8959 +/- 0.0276 | 72.35% |
| Q2_K | 24.56 | 4.7763 +/- 0.0274 | 68.73% |
| IQ3_XXS | 25.58 | 3.9671 +/- 0.0211 | 40.14% |
| IQ3_XS | 27.29 | 3.7210 +/- 0.0191 | 31.45% |
| Q3_K_S | 28.79 | 3.6502 +/- 0.0192 | 28.95% |
| IQ3_S | 28.79 | 3.4698 +/- 0.0174 | 22.57% |
| IQ3_M | 29.74 | 3.4402 +/- 0.0171 | 21.53% |
| Q3_K_M | 31.91 | 3.3617 +/- 0.0172 | 18.75% |
| Q3_K_L | 34.59 | 3.3016 +/- 0.0168 | 16.63% |
| IQ4_XS | 35.30 | 3.0310 +/- 0.0149 | 7.07% |
| IQ4_NL | 37.30 | 3.0261 +/- 0.0149 | 6.90% |
| Q4_K_S | 37.58 | 3.0050 +/- 0.0148 | 6.15% |
| Q4_K_M | 39.60 | 2.9674 +/- 0.0146 | 4.83% |
| Q5_K_S | 45.32 | 2.8843 +/- 0.0141 | 1.89% |
| Q5_K_M | 46.52 | 2.8656 +/- 0.0139 | 1.23% |
| Q6_K | 53.91 | 2.8441 +/- 0.0138 | 0.47% |
| Q8_0 | 69.83 | 2.8316 +/- 0.0138 | 0.03% |
| F16 | 131.43 | 2.8308 +/- 0.0138 | 0.00% |
Where to send questions or comments about the model Instructions on how to provide feedback or comments on the model can be found in the model README. For more technical information about generation parameters and recipes for how to use Llama 3 in applications, please go here.
License
See the License file for Meta Llama 3 here and Acceptable Use Policy here
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