Instructions to use marcelone/Llama-3.1-Swallow-8B-Instruct-v0.5-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 marcelone/Llama-3.1-Swallow-8B-Instruct-v0.5-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 marcelone/Llama-3.1-Swallow-8B-Instruct-v0.5-gguf:BF16 # Run inference directly in the terminal: llama cli -hf marcelone/Llama-3.1-Swallow-8B-Instruct-v0.5-gguf:BF16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf marcelone/Llama-3.1-Swallow-8B-Instruct-v0.5-gguf:BF16 # Run inference directly in the terminal: llama cli -hf marcelone/Llama-3.1-Swallow-8B-Instruct-v0.5-gguf:BF16
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 marcelone/Llama-3.1-Swallow-8B-Instruct-v0.5-gguf:BF16 # Run inference directly in the terminal: ./llama-cli -hf marcelone/Llama-3.1-Swallow-8B-Instruct-v0.5-gguf:BF16
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 marcelone/Llama-3.1-Swallow-8B-Instruct-v0.5-gguf:BF16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf marcelone/Llama-3.1-Swallow-8B-Instruct-v0.5-gguf:BF16
Use Docker
docker model run hf.co/marcelone/Llama-3.1-Swallow-8B-Instruct-v0.5-gguf:BF16
- LM Studio
- Jan
- Ollama
How to use marcelone/Llama-3.1-Swallow-8B-Instruct-v0.5-gguf with Ollama:
ollama run hf.co/marcelone/Llama-3.1-Swallow-8B-Instruct-v0.5-gguf:BF16
- Unsloth Desktop
- Docker Model Runner
How to use marcelone/Llama-3.1-Swallow-8B-Instruct-v0.5-gguf with Docker Model Runner:
docker model run hf.co/marcelone/Llama-3.1-Swallow-8B-Instruct-v0.5-gguf:BF16
- Lemonade
How to use marcelone/Llama-3.1-Swallow-8B-Instruct-v0.5-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull marcelone/Llama-3.1-Swallow-8B-Instruct-v0.5-gguf:BF16
Run and chat with the model
lemonade run user.Llama-3.1-Swallow-8B-Instruct-v0.5-gguf-BF16
List all available models
lemonade list
- Atomic Chat
Upload 3 files
Browse files
.gitattributes
CHANGED
|
@@ -45,3 +45,6 @@ Swallow-8B-it-v05-gguf-Q8_0-mixed-v1.gguf filter=lfs diff=lfs merge=lfs -text
|
|
| 45 |
Swallow-8B-it-v05-gguf-q8_0-mixed-v3.gguf filter=lfs diff=lfs merge=lfs -text
|
| 46 |
Swallow-8B-it-v05-gguf-Q8_0-mixed-v4.gguf filter=lfs diff=lfs merge=lfs -text
|
| 47 |
Swallow-8B-it-v05-gguf-q8_0.gguf filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
|
|
|
|
|
|
| 45 |
Swallow-8B-it-v05-gguf-q8_0-mixed-v3.gguf filter=lfs diff=lfs merge=lfs -text
|
| 46 |
Swallow-8B-it-v05-gguf-Q8_0-mixed-v4.gguf filter=lfs diff=lfs merge=lfs -text
|
| 47 |
Swallow-8B-it-v05-gguf-q8_0.gguf filter=lfs diff=lfs merge=lfs -text
|
| 48 |
+
Swallow-8B-it-v05-gguf-q6_k-mixed-v1.gguf filter=lfs diff=lfs merge=lfs -text
|
| 49 |
+
Swallow-8B-it-v05-gguf-q6_k-mixed-v2.gguf filter=lfs diff=lfs merge=lfs -text
|
| 50 |
+
Swallow-8B-it-v05-gguf-q6_k.gguf filter=lfs diff=lfs merge=lfs -text
|
Swallow-8B-it-v05-gguf-q6_k-mixed-v1.gguf
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b093c0993255c621db0737265b1bc33fd0d8dba1ea2f82c79d6ea5a0e15d687e
|
| 3 |
+
size 7161895584
|
Swallow-8B-it-v05-gguf-q6_k-mixed-v2.gguf
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d00025437419308b2a45be8fcab45ee6edf0491f3b109f719adc172a8a0a2c14
|
| 3 |
+
size 7535123104
|
Swallow-8B-it-v05-gguf-q6_k.gguf
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:304c24b02376da4cbc9f44dc6a6a0592312ade809d5dc2495befc9c22767efdc
|
| 3 |
+
size 6596008608
|