Instructions to use preferredev/qwen_fable5_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 preferredev/qwen_fable5_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 preferredev/qwen_fable5_gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf preferredev/qwen_fable5_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 preferredev/qwen_fable5_gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf preferredev/qwen_fable5_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 preferredev/qwen_fable5_gguf:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf preferredev/qwen_fable5_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 preferredev/qwen_fable5_gguf:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf preferredev/qwen_fable5_gguf:Q4_K_M
Use Docker
docker model run hf.co/preferredev/qwen_fable5_gguf:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use preferredev/qwen_fable5_gguf with Ollama:
ollama run hf.co/preferredev/qwen_fable5_gguf:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use preferredev/qwen_fable5_gguf with Docker Model Runner:
docker model run hf.co/preferredev/qwen_fable5_gguf:Q4_K_M
- Lemonade
How to use preferredev/qwen_fable5_gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull preferredev/qwen_fable5_gguf:Q4_K_M
Run and chat with the model
lemonade run user.qwen_fable5_gguf-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Update README.md
Browse files
README.md
CHANGED
|
@@ -4,20 +4,16 @@ tags:
|
|
| 4 |
- llama.cpp
|
| 5 |
- unsloth
|
| 6 |
- vision-language-model
|
|
|
|
|
|
|
|
|
|
| 7 |
---
|
| 8 |
|
| 9 |
# qwen_fable5_gguf : GGUF
|
| 10 |
|
| 11 |
-
This model was finetuned
|
| 12 |
-
|
| 13 |
-
**Example usage**:
|
| 14 |
-
- For text only LLMs: `llama-cli -hf preferredev/qwen_fable5_gguf --jinja`
|
| 15 |
-
- For multimodal models: `llama-mtmd-cli -hf preferredev/qwen_fable5_gguf --jinja`
|
| 16 |
|
| 17 |
## Available Model files:
|
| 18 |
-
- `
|
| 19 |
-
- `
|
| 20 |
-
- `
|
| 21 |
-
- `Qwen2-VL-2B-Instruct.F16-mmproj.gguf`
|
| 22 |
-
This was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth)
|
| 23 |
-
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
|
|
|
|
| 4 |
- llama.cpp
|
| 5 |
- unsloth
|
| 6 |
- vision-language-model
|
| 7 |
+
license: mit
|
| 8 |
+
language:
|
| 9 |
+
- en
|
| 10 |
---
|
| 11 |
|
| 12 |
# qwen_fable5_gguf : GGUF
|
| 13 |
|
| 14 |
+
This model was finetuned on Fable 5 traces.
|
|
|
|
|
|
|
|
|
|
|
|
|
| 15 |
|
| 16 |
## Available Model files:
|
| 17 |
+
- `Q8_0`
|
| 18 |
+
- `Q5_K_M`
|
| 19 |
+
- `Q4_K_M`
|
|
|
|
|
|
|
|
|