File	Size	Description
`Fara1.5-9B-Q4_K_M.gguf`	5.24 GiB	Recommended balance of size and quality; 5.02 BPW
`Fara1.5-9B-Q8_0.gguf`	8.87 GiB	Higher-fidelity 8-bit quantization; 8.50 BPW
`Fara1.5-9B-mmproj-F16.gguf`	0.855 GiB	F16 vision projector required for screenshot/image input with either quant

The projector is shared by both text-model quantizations. Download it alongside the selected model file for multimodal use.

llama.cpp usage

Fara is a screenshot-driven computer-use model. For image grounding, use at least 1,024 image tokens:

bash

llama-mtmd-cli \
  -m Fara1.5-9B-Q4_K_M.gguf \
  --mmproj Fara1.5-9B-mmproj-F16.gguf \
  --image screenshot.png \
  --image-min-tokens 1024 \
  -ngl 99 \
  -p "Describe the next browser action."

Server example:

bash

llama-server \
  -m Fara1.5-9B-Q4_K_M.gguf \
  --mmproj Fara1.5-9B-mmproj-F16.gguf \
  --image-min-tokens 1024 \
  -ngl 99 \
  --ctx-size 8192

For full computer-use behavior, follow the original model card's system prompt, tool schema, screenshot-history format, and critical-point safety requirements. Microsoft recommends running the browser in a sandbox with domain allow-lists, monitoring, and an immediate pause control. The model was most commonly trained with 1440 x 900 screenshots.

Conversion and validation

Source: four BF16 safetensor shards, 760 indexed tensors, with no missing, extra, or misassigned tensors.
Text GGUF architecture: qwen35, 427 tensors.
Vision projector architecture: clip, 334 tensors.
Quantization: standard llama-quantize Q8_0 and Q4_K_M without an importance matrix.
Runtime: both quantizations loaded and generated successfully on an RTX 4090.
Multimodal: Q4_K_M plus the F16 projector successfully encoded and interpreted a repository screenshot.

SHA-256

text

83198b9f854655de273841116135bd7d12ea763c0fab6c198fb91de3b5fe4441  Fara1.5-9B-Q8_0.gguf
8cd4370324f5477ebd48b59ad32bdc1edc19dcb8dcf21479c7bebd3ed572dc7f  Fara1.5-9B-Q4_K_M.gguf
6b9299f56b6c1cc0eab1e3404664137bdde4dbd139da2ead59502d7da340547c  Fara1.5-9B-mmproj-F16.gguf

Fara1.5-9B is released under the MIT license. See the original model card for intended use, limitations, safety guidance, evaluation results, and attribution.

Tdamre/Fara1.5-9B-GGUF

Fara1.5-9B GGUF

Files

llama.cpp usage

Conversion and validation

SHA-256

Tdamre/
Fara1.5-9B-GGUF