Instructions to use Timonafri/e2b_fin2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- Unsloth Desktop
File size: 684 Bytes
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tags:
- gguf
- llama.cpp
- unsloth
- vision-language-model
---
# e2b_fin2 : GGUF
This model was finetuned and converted to GGUF format using [Unsloth](https://github.com/unslothai/unsloth).
**Example usage**:
- For text only LLMs: `llama-cli -hf Timonafri/e2b_fin2 --jinja`
- For multimodal models: `llama-mtmd-cli -hf Timonafri/e2b_fin2 --jinja`
## Available Model files:
- `gemma4_gguf.Q8_0.gguf`
- `gemma4_gguf.F16-mmproj.gguf`
This was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth)
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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