---

license: mit

base_model: deepseek-ai/DeepSeek-R1-0528-Qwen3-8B

base_model_relation: quantized

pipeline_tag: text-generation

library_name: gguf

tags:

- gguf

- llama.cpp

- twoody

---

DeepSeek-R1-0528-Qwen3-8B — GGUF Q4_K_M, for Twoody

deepseek-ai/DeepSeek-R1-0528-Qwen3-8B, 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 |

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

| DeepSeek-R1-0528-Qwen3-8B-Q4_K_M.gguf | 5027782816 bytes | 4422f4ed58f2a0d1b4b93067fd312207c2adc326a30f67a3bf9914f889d1d7cc |

How it was made

• Weights: deepseek-ai/DeepSeek-R1-0528-Qwen3-8B at revision

6e8885a6ff5c1dc5201574c8fd700323f23c25fa, the publisher's own.

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

converted to BF16 (convert_hf_to_gguf.py --remote deepseek-ai/DeepSeek-R1-0528-Qwen3-8B --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

MIT, as the original model — see LICENSE, copied from

deepseek-ai/DeepSeek-R1-0528-Qwen3-8B.