Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf anushkrishna/falcon-models:Q4_K_M# Run inference directly in the terminal:
llama cli -hf anushkrishna/falcon-models:Q4_K_MUse 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 anushkrishna/falcon-models:Q4_K_M# Run inference directly in the terminal:
./llama-cli -hf anushkrishna/falcon-models:Q4_K_MBuild 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 anushkrishna/falcon-models:Q4_K_M# Run inference directly in the terminal:
./build/bin/llama-cli -hf anushkrishna/falcon-models:Q4_K_MUse Docker
docker model run hf.co/anushkrishna/falcon-models:Q4_K_MFalcon model packs
Prepared English/Arabic model artifacts for the Falcon desktop application. This is a multi-pack distribution repository, not a single Transformers model. No Hugging Face account is required to download these public files.
| Pack | Files | Runtime | Changes from upstream | License |
|---|---|---|---|---|
| ALLaM-7B-Instruct-preview | allam/ |
llama.cpp | Converted to GGUF and quantized Q4_K_M | Apache-2.0 |
| OPUS-MT English → Arabic | marian/en-ar/ |
CTranslate2 | Converted to CTranslate2 and quantized int8 | CC-BY-4.0 |
| OPUS-MT Arabic → English | marian/ar-en/ |
CTranslate2 | Converted to CTranslate2 and quantized int8 | CC-BY-4.0 |
ALLaM is attributed to its original authors at NCAI/SDAIA; its upstream
repository is maintained under HUMAIN. OPUS-MT is attributed to Helsinki-NLP /
the OPUS-MT project, University of Helsinki. See the original model cards in
sources/ for authorship, citations, intended uses, and limitations. Falcon's
packaging does not imply endorsement by the original authors.
manifest.json records the exact upstream revisions, artifact sizes and SHA-256
hashes. Original model cards are preserved in sources/; applicable license
texts and attribution are linked in LICENSE.md. The transformations
are format conversion and quantization, with no additional fine-tuning.
The exact Marian converter environment was not recorded for these existing
artifacts; their identity is fixed by hashes. Future conversions should record
the complete toolchain versions before publishing a new release.
Downloading
Use a full commit SHA from the release history, rather than main or a
mutable tag, and verify the file size and SHA-256 before loading. For example:
https://huggingface.co/anushkrishna/falcon-models/resolve/<commit-sha>/marian/en-ar/model.bin
https://huggingface.co/anushkrishna/falcon-models/resolve/<commit-sha>/allam/allam-7b-instruct-preview-Q4_K_M.gguf
Marian requires all five files in the selected direction folder. ALLaM's tokenizer/config files are supplied alongside its GGUF for provenance and compatibility. The GGUF includes the tokenizer and chat template.
OCR continues to use the official PaddlePaddle Hugging Face repositories;
external_artifacts in the manifest documents Falcon's pinned OCR weights.
Those weights and native runtime binaries are not mirrored in this release.
Falcon downloads model data during setup and runs document processing locally. Model updates should be tested and explicitly approved by the application release; uploading new files here does not update an already pinned app.
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Base model
Helsinki-NLP/opus-mt-tc-big-ar-en
Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf anushkrishna/falcon-models:Q4_K_M# Run inference directly in the terminal: llama cli -hf anushkrishna/falcon-models:Q4_K_M