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Abiray/Fara1.5-27B-GGUF
Fara1.5-27B-GGUF is a image-text-to-text model from Abiray. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for gguf. The card lists the license as mit.
This repository contains GGUF quantizations and multimodal projector (mmproj) files for microsoft/Fara1.5-27B.
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From the Hugging Face model README
This repository contains GGUF quantizations and multimodal projector (mmproj) files for microsoft/Fara1.5-27B.
Q3_K_M, Q4_K_M, Q4_K_S, Q5_K_M, Q5_K_S, Q6_K, Q8_0) + mmproj vision projectors.gguf)| File Name | Size | Quant Method | Description |
|---|---|---|---|
Fara1.5-27B.Q3_K_M.gguf | ~13.3 GB | Q3_K_M | 3-bit medium. Lowest VRAM footprint. |
Fara1.5-27B.Q4_K_S.gguf | ~15.6 GB | Q4_K_S | 4-bit small. Balanced size and performance. |
Fara1.5-27B.Q4_K_M.gguf | ~16.5 GB | Q4_K_M | 4-bit medium. Recommended balance of speed, memory usage, and quality. |
Fara1.5-27B.Q5_K_S.gguf | ~18.7 GB | Q5_K_S | 5-bit small. High quality, lower loss. |
Fara1.5-27B.Q5_K_M.gguf | ~19.2 GB | Q5_K_M | 5-bit medium. Superior precision. |
Fara1.5-27B.Q6_K.gguf | ~22.1 GB | Q6_K | 6-bit quantization. Extremely close to native FP16 accuracy. |
Fara1.5-27B.Q8_0.gguf | ~28.6 GB | Q8_0 | 8-bit quantization. Maximum accuracy. |
.mmproj-*.gguf)(Required to pass screenshot images into the model in llama.cpp)
| File Name | Size | Format | Description |
|---|---|---|---|
Fara1.5-27B.mmproj-q8_0.gguf | ~629 MB | Q8_0 | Quantized vision projector (recommended for low VRAM). |
Fara1.5-27B.mmproj-bf16.gguf | ~931 MB | BF16 | Native BFloat16 vision projector. |
Fara1.5-27B.mmproj-f16.gguf | ~931 MB | FP16 | Standard FP16 vision projector. |
Because Fara1.5-27B processes screenshots, you must pass both a model weight file (-m) AND a multimodal projector file (--mmproj) during inference in llama.cpp.
llama.cpp# Clone and build llama.cpp
git clone [https://github.com/ggml-org/llama.cpp](https://github.com/ggml-org/llama.cpp)
cd llama.cpp && cmake -B build -DGGML_CUDA=ON && cmake --build build --config Release -j
# Download the model and vision projector from this repository
huggingface-cli download Abiray/Fara1.5-27B-GGUF Fara1.5-27B.Q4_K_M.gguf --local-dir .
huggingface-cli download Abiray/Fara1.5-27B-GGUF Fara1.5-27B.mmproj-f16.gguf --local-dir .
# Serve with llama-server
./build/bin/llama-server \
-m Fara1.5-27B.Q4_K_M.gguf \
--mmproj Fara1.5-27B.mmproj-f16.gguf \
-ngl 99 \
--port 8000 \
-c 262144