---
license: apache-2.0
base_model: Qwen/Qwen3-8B
tags:
  - compression
  - quantization
  - gguf
  - bittensor
  - ralph
---

# qwen3-8b-ralph-sub4-c1b-20260910

Compressed derivative of [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) submitted to the
sub4 bit-tier of [Bittensor subnet 40](https://taostats.io/subnets/40) (Ralph, model compression).
Architecture and parameter count are unchanged from the parent; weights are re-stored at reduced bit-width.

## License

Released under the **Apache License 2.0** — see `LICENSE`. This is a derivative of Qwen3-8B, itself Apache-2.0;
the parent's copyright and attribution notices, a description of what changed, the data used and the third-party
tooling involved are preserved in `NOTICE`. The exact artifact is `model.gguf` at revision `3c21306c630dac6440b37ad67b965a4b9b787cf9`
(SHA-256 `b2ec80dce90258bbe9555a67983dea595d91f35cae48ca0d54c714eae8100edf`); adding this model card and license files does not alter that file.

## Model overview

| | |
|---|---|
| Parent | [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) (Apache-2.0) |
| Architecture | unchanged from parent |
| Format | GGUF (llama.cpp) |
| Bit tier | sub4 (gate: ≤4.0 code bits and ≤5.0 container bits per weight) |
| File size | 4,614,304,896 bytes |
| Measured bits/weight | 4.0 code bits, 4.5 container bits (validator-measured) |
| Method | Post-training weight re-storage of the parent's own weights: llama.cpp pure Q4_K quantization with an importance-matrix (imatrix) calibration computed on the bf16 parent at 2048-token context over an exam-proportional sample of public trajectory datasets. No retraining, distillation or architectural change. |

Upstream terms to preserve: Qwen3-8B's Apache-2.0 license and attribution (kept in `NOTICE`); llama.cpp's MIT license
for the GGUF tooling; the dataset licenses listed in `NOTICE` (Apache-2.0, MIT, CC-BY-4.0 — attribution only).