---

license: apache-2.0

base_model: Qwen/Qwen3.5-4B

base_model_relation: quantized

pipeline_tag: text-generation

library_name: gguf

tags:

- gguf

- llama.cpp

- twoody

---

Qwen3.5-4B — GGUF Q4_K_M, for Twoody

Qwen/Qwen3.5-4B, converted to GGUF and quantised to

Q4_K_M by Osmove for

Twoody, the free AI that runs on your own computer.

It is the file Twoody installs in one click, and it runs with any app built

on llama.cpp.

| File | Size | SHA-256 |

|---|---|---|

| Qwen3.5-4B-Q4_K_M.gguf | 2783446880 bytes | b7508d8b4a652bc020a439aafdd4ce1527d49774865ce3334a43b16dbeaa90ca |

How it was made

• Weights: Qwen/Qwen3.5-4B at revision

851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a, the publisher's own.

• Tools: llama.cpp b11146, the release Twoody ships. The weights were

converted to BF16 (convert_hf_to_gguf.py --remote Qwen/Qwen3.5-4B --outtype bf16),

then quantised (llama-quantize … Q4_K_M), with no importance matrix.

The converter's defaults were kept.

• Anyone can make it again with the same weights and the same llama.cpp

release, and compare the SHA-256.

Nothing was changed in the model beyond this conversion: its behaviour, its

limits and its licence are the original's.

Licence

apache-2.0, as the original model — see LICENSE, copied from

Qwen/Qwen3.5-4B.

Vision

mmproj-F16.gguf (672423488 bytes, SHA-256 d293cd66fd524937c9bd5f37e802d5cdab553eae3d53979a1c02eb6d9e81b6ea) is the model's vision part, so that

it reads images: converted by Osmove from Qwen/Qwen3.5-4B

at revision 851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a with llama.cpp b11146 (convert_hf_to_gguf.py --remote Qwen/Qwen3.5-4B --mmproj --outtype f16).

Give it to llama.cpp with --mmproj.