Instructions to use bartowski/Meta-Llama-3-120B-Instruct-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/Meta-Llama-3-120B-Instruct-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/Meta-Llama-3-120B-Instruct-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf bartowski/Meta-Llama-3-120B-Instruct-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/Meta-Llama-3-120B-Instruct-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf bartowski/Meta-Llama-3-120B-Instruct-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/Meta-Llama-3-120B-Instruct-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf bartowski/Meta-Llama-3-120B-Instruct-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/Meta-Llama-3-120B-Instruct-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf bartowski/Meta-Llama-3-120B-Instruct-GGUF:Q4_K_M
Use Docker
docker model run hf.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use bartowski/Meta-Llama-3-120B-Instruct-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "bartowski/Meta-Llama-3-120B-Instruct-GGUF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "bartowski/Meta-Llama-3-120B-Instruct-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF:Q4_K_M
- Ollama
How to use bartowski/Meta-Llama-3-120B-Instruct-GGUF with Ollama:
ollama run hf.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF:Q4_K_M
- Unsloth Studio
How to use bartowski/Meta-Llama-3-120B-Instruct-GGUF with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for bartowski/Meta-Llama-3-120B-Instruct-GGUF to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for bartowski/Meta-Llama-3-120B-Instruct-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for bartowski/Meta-Llama-3-120B-Instruct-GGUF to start chatting
- Atomic Chat new
- Docker Model Runner
How to use bartowski/Meta-Llama-3-120B-Instruct-GGUF with Docker Model Runner:
docker model run hf.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF:Q4_K_M
- Lemonade
How to use bartowski/Meta-Llama-3-120B-Instruct-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull bartowski/Meta-Llama-3-120B-Instruct-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Meta-Llama-3-120B-Instruct-GGUF-Q4_K_M
List all available models
lemonade list
Llamacpp quants
Browse files- .gitattributes +23 -0
- Meta-Llama-3-120B-Instruct-Q5_K_M.gguf/Meta-Llama-3-120B-Instruct-Q5_K_M-00001-of-00003.gguf +3 -0
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- Meta-Llama-3-120B-Instruct-Q5_K_S.gguf/Meta-Llama-3-120B-Instruct-Q5_K_S-00003-of-00003.gguf +3 -0
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- Meta-Llama-3-120B-Instruct-Q8_0.gguf/Meta-Llama-3-120B-Instruct-Q8_0-00002-of-00005.gguf +3 -0
- Meta-Llama-3-120B-Instruct-Q8_0.gguf/Meta-Llama-3-120B-Instruct-Q8_0-00003-of-00005.gguf +3 -0
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- Meta-Llama-3-120B-Instruct-fp16.gguf/Meta-Llama-3-120B-Instruct-fp16-00001-of-00008.gguf +3 -0
- Meta-Llama-3-120B-Instruct-fp16.gguf/Meta-Llama-3-120B-Instruct-fp16-00002-of-00008.gguf +3 -0
- Meta-Llama-3-120B-Instruct-fp16.gguf/Meta-Llama-3-120B-Instruct-fp16-00003-of-00008.gguf +3 -0
- Meta-Llama-3-120B-Instruct-fp16.gguf/Meta-Llama-3-120B-Instruct-fp16-00004-of-00008.gguf +3 -0
- Meta-Llama-3-120B-Instruct-fp16.gguf/Meta-Llama-3-120B-Instruct-fp16-00005-of-00008.gguf +3 -0
- Meta-Llama-3-120B-Instruct-fp16.gguf/Meta-Llama-3-120B-Instruct-fp16-00006-of-00008.gguf +3 -0
- Meta-Llama-3-120B-Instruct-fp16.gguf/Meta-Llama-3-120B-Instruct-fp16-00007-of-00008.gguf +3 -0
- Meta-Llama-3-120B-Instruct-fp16.gguf/Meta-Llama-3-120B-Instruct-fp16-00008-of-00008.gguf +3 -0
- README.md +22 -18
.gitattributes
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Meta-Llama-3-120B-Instruct-Q8_0.gguf/Meta-Llama-3-120B-Instruct-Q8_0-00005-of-00005.gguf
ADDED
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@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:295224fd04b40698ff1b9d67462ac2f745fbeab21e680d58d5be381c0815b4a7
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size 1060733824
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Meta-Llama-3-120B-Instruct-fp16.gguf/Meta-Llama-3-120B-Instruct-fp16-00001-of-00008.gguf
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 31759757056
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Meta-Llama-3-120B-Instruct-fp16.gguf/Meta-Llama-3-120B-Instruct-fp16-00002-of-00008.gguf
ADDED
|
@@ -0,0 +1,3 @@
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|
|
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|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:085cf4d4c4952666b76327863745a03691a4d266a9785ad66c7482245da261f5
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size 32045738016
|
Meta-Llama-3-120B-Instruct-fp16.gguf/Meta-Llama-3-120B-Instruct-fp16-00003-of-00008.gguf
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:e90680970e50d982af3bd4dc8ad25eeb23bb08bb76ef8a35df0355b0038e6fdf
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size 32045738016
|
Meta-Llama-3-120B-Instruct-fp16.gguf/Meta-Llama-3-120B-Instruct-fp16-00004-of-00008.gguf
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
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|
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+
version https://git-lfs.github.com/spec/v1
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oid sha256:08af60e214f90eeb94ea0d5addfcf98693c4773e6a3ca0b4dfae6145af33804a
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size 31743682240
|
Meta-Llama-3-120B-Instruct-fp16.gguf/Meta-Llama-3-120B-Instruct-fp16-00005-of-00008.gguf
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
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|
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|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:b861bd89f9271b3c8b556ed70c946f2c2413dfb852e23e5f83fba2fc52957515
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size 32062548128
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Meta-Llama-3-120B-Instruct-fp16.gguf/Meta-Llama-3-120B-Instruct-fp16-00006-of-00008.gguf
ADDED
|
@@ -0,0 +1,3 @@
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|
|
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|
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|
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|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:47aa397a827c8b68ac502fa62968e4f6a8d6cb6f971e7ec2d8319c1b615ad2e8
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size 31877900128
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Meta-Llama-3-120B-Instruct-fp16.gguf/Meta-Llama-3-120B-Instruct-fp16-00007-of-00008.gguf
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:afbbacd7be0fb72cb531d283cc5f2cfc3b5ad099499cda4ae25f301dc2a9dd65
|
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size 32196733248
|
Meta-Llama-3-120B-Instruct-fp16.gguf/Meta-Llama-3-120B-Instruct-fp16-00008-of-00008.gguf
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
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oid sha256:8dda673375963000684d1527b33e1ffe1e858fc3c676de39b43e8203ba740fdf
|
| 3 |
+
size 20066343328
|
README.md
CHANGED
|
@@ -40,24 +40,28 @@ All quants made using imatrix option with dataset provided by Kalomaze [here](ht
|
|
| 40 |
|
| 41 |
| Filename | Quant type | File Size | Description |
|
| 42 |
| -------- | ---------- | --------- | ----------- |
|
| 43 |
-
| [Meta-Llama-3-120B-Instruct-
|
| 44 |
-
| [Meta-Llama-3-120B-Instruct-
|
| 45 |
-
| [Meta-Llama-3-120B-Instruct-
|
| 46 |
-
| [Meta-Llama-3-120B-Instruct-
|
| 47 |
-
| [Meta-Llama-3-120B-Instruct-
|
| 48 |
-
| [Meta-Llama-3-120B-Instruct-
|
| 49 |
-
| [Meta-Llama-3-120B-Instruct-
|
| 50 |
-
| [Meta-Llama-3-120B-Instruct-
|
| 51 |
-
| [Meta-Llama-3-120B-Instruct-
|
| 52 |
-
| [Meta-Llama-3-120B-Instruct-
|
| 53 |
-
| [Meta-Llama-3-120B-Instruct-
|
| 54 |
-
| [Meta-Llama-3-120B-Instruct-
|
| 55 |
-
| [Meta-Llama-3-120B-Instruct-
|
| 56 |
-
| [Meta-Llama-3-120B-Instruct-
|
| 57 |
-
| [Meta-Llama-3-120B-Instruct-
|
| 58 |
-
| [Meta-Llama-3-120B-Instruct-
|
| 59 |
-
| [Meta-Llama-3-120B-Instruct-
|
| 60 |
-
| [Meta-Llama-3-120B-Instruct-
|
|
|
|
|
|
|
|
|
|
|
|
|
| 61 |
|
| 62 |
## Downloading using huggingface-cli
|
| 63 |
|
|
|
|
| 40 |
|
| 41 |
| Filename | Quant type | File Size | Description |
|
| 42 |
| -------- | ---------- | --------- | ----------- |
|
| 43 |
+
| [Meta-Llama-3-120B-Instruct-Q8_0.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF/tree/main/Meta-Llama-3-120B-Instruct-Q8_0.gguf) | Q8_0 | 129.52GB | Extremely high quality, generally unneeded but max available quant. |
|
| 44 |
+
| [Meta-Llama-3-120B-Instruct-Q6_K.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF/tree/main/Meta-Llama-3-120B-Instruct-Q6_K.gguf) | Q6_K | 100.00GB | Very high quality, near perfect, *recommended*. |
|
| 45 |
+
| [Meta-Llama-3-120B-Instruct-Q5_K_M.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF/tree/main/Meta-Llama-3-120B-Instruct-Q5_K_M.gguf) | Q5_K_M | 86.21GB | High quality, *recommended*. |
|
| 46 |
+
| [Meta-Llama-3-120B-Instruct-Q5_K_S.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF/tree/main/Meta-Llama-3-120B-Instruct-Q5_K_S.gguf) | Q5_K_S | 83.95GB | High quality, *recommended*. |
|
| 47 |
+
| [Meta-Llama-3-120B-Instruct-Q4_K_M.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF//main/Meta-Llama-3-120B-Instruct-Q4_K_M.gguf) | Q4_K_M | | Good quality, uses about 4.83 bits per weight, *recommended*. |
|
| 48 |
+
| [Meta-Llama-3-120B-Instruct-Q4_K_S.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF//main/Meta-Llama-3-120B-Instruct-Q4_K_S.gguf) | Q4_K_S | | Slightly lower quality with more space savings, *recommended*. |
|
| 49 |
+
| [Meta-Llama-3-120B-Instruct-IQ4_NL.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF//main/Meta-Llama-3-120B-Instruct-IQ4_NL.gguf) | IQ4_NL | | Decent quality, slightly smaller than Q4_K_S with similar performance *recommended*. |
|
| 50 |
+
| [Meta-Llama-3-120B-Instruct-IQ4_XS.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF//main/Meta-Llama-3-120B-Instruct-IQ4_XS.gguf) | IQ4_XS | | Decent quality, smaller than Q4_K_S with similar performance, *recommended*. |
|
| 51 |
+
| [Meta-Llama-3-120B-Instruct-Q3_K_L.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF//main/Meta-Llama-3-120B-Instruct-Q3_K_L.gguf) | Q3_K_L | | Lower quality but usable, good for low RAM availability. |
|
| 52 |
+
| [Meta-Llama-3-120B-Instruct-Q3_K_M.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF//main/Meta-Llama-3-120B-Instruct-Q3_K_M.gguf) | Q3_K_M | | Even lower quality. |
|
| 53 |
+
| [Meta-Llama-3-120B-Instruct-IQ3_M.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF//main/Meta-Llama-3-120B-Instruct-IQ3_M.gguf) | IQ3_M | | Medium-low quality, new method with decent performance comparable to Q3_K_M. |
|
| 54 |
+
| [Meta-Llama-3-120B-Instruct-IQ3_S.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF//main/Meta-Llama-3-120B-Instruct-IQ3_S.gguf) | IQ3_S | | Lower quality, new method with decent performance, recommended over Q3_K_S quant, same size with better performance. |
|
| 55 |
+
| [Meta-Llama-3-120B-Instruct-Q3_K_S.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF//main/Meta-Llama-3-120B-Instruct-Q3_K_S.gguf) | Q3_K_S | | Low quality, not recommended. |
|
| 56 |
+
| [Meta-Llama-3-120B-Instruct-IQ3_XS.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF//main/Meta-Llama-3-120B-Instruct-IQ3_XS.gguf) | IQ3_XS | | Lower quality, new method with decent performance, slightly better than Q3_K_S. |
|
| 57 |
+
| [Meta-Llama-3-120B-Instruct-IQ3_XXS.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF//main/Meta-Llama-3-120B-Instruct-IQ3_XXS.gguf) | IQ3_XXS | | Lower quality, new method with decent performance, comparable to Q3 quants. |
|
| 58 |
+
| [Meta-Llama-3-120B-Instruct-Q2_K.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF//main/Meta-Llama-3-120B-Instruct-Q2_K.gguf) | Q2_K | | Very low quality but surprisingly usable. |
|
| 59 |
+
| [Meta-Llama-3-120B-Instruct-IQ2_M.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF//main/Meta-Llama-3-120B-Instruct-IQ2_M.gguf) | IQ2_M | | Very low quality, uses SOTA techniques to also be surprisingly usable. |
|
| 60 |
+
| [Meta-Llama-3-120B-Instruct-IQ2_S.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF//main/Meta-Llama-3-120B-Instruct-IQ2_S.gguf) | IQ2_S | | Very low quality, uses SOTA techniques to be usable. |
|
| 61 |
+
| [Meta-Llama-3-120B-Instruct-IQ2_XS.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF//main/Meta-Llama-3-120B-Instruct-IQ2_XS.gguf) | IQ2_XS | | Very low quality, uses SOTA techniques to be usable. |
|
| 62 |
+
| [Meta-Llama-3-120B-Instruct-IQ2_XXS.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF//main/Meta-Llama-3-120B-Instruct-IQ2_XXS.gguf) | IQ2_XXS | | Lower quality, uses SOTA techniques to be usable. |
|
| 63 |
+
| [Meta-Llama-3-120B-Instruct-IQ1_M.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF//main/Meta-Llama-3-120B-Instruct-IQ1_M.gguf) | IQ1_M | | Extremely low quality, *not* recommended. |
|
| 64 |
+
| [Meta-Llama-3-120B-Instruct-IQ1_S.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF//main/Meta-Llama-3-120B-Instruct-IQ1_S.gguf) | IQ1_S | | Extremely low quality, *not* recommended. |
|
| 65 |
|
| 66 |
## Downloading using huggingface-cli
|
| 67 |
|