Frontier
on your GPU.
Reasoning distills from closed frontier models onto small open weights — led by Qwythos-9B-Claude-Mythos-5-1M (1M-token context, native tool use, GGUF v2 local builds) and Qwable-9B-Claude-Fable-5 — with Qwythos-27B announced as the next larger Mythos model — plus pure-PyTorch ports of frontier architectures so the original weights load, quantize and train without proprietary kernels, all on a single consumer GPU. Apache-2.0 or NVIDIA OML.
A 9B that checks
its own work.
Qwythos-9B-Claude-Mythos-5-1M is our shipped flagship — a full-parameter reasoning model distilled from Claude Mythos 5 and Claude Fable traces, with a 1M-token context, native tool use, and a +34.3 MMLU lift over its base. The v2 GGUFs are live now: fixed Qwen3.5 runtime metadata, stronger embedded chat/tool templates, normal replacement files, explicit -MTP- variants for draft speculation, and a vision projector. Qwythos-27B is announced as the next larger Mythos model.
Matched lm-evaluation-harness run (limit 100). Not every benchmark moved up — gpqa-diamond −0.05, arc-challenge roughly flat. Full table on the model card.
How many prime numbers are there below 100,000? Verify with python.
This is a counting problem over a fixed range — the kind of thing I should verify rather than recall. I'll write a primality test, count every prime from 2 through 99,999, and run it in the python_executor rather than trusting a memorised figure.
There are 9,592 prime numbers below 100,000. I verified this by computing all primes from 2 through 99,999 using a primality test and counting them.
→ Reaches for a tool to verify rather than recalling a number. Writes the primality test, runs it, reports the checked result.
Our shipped flagship. A full-parameter reasoning model on a deeply uncensored Qwen3.5-9B base, post-trained on 500M+ tokens of Claude Mythos and Claude Fable traces with in-house chain-of-thought. Ships with a 1,048,576-token (1M) context via YaRN by default and native function calling — and self-corrects with tools (7/7 on hard factual prompts spanning math, cybersecurity, pharmacology and biochem). Versus the base, under a matched harness: +34.3 MMLU, +30 gsm8k-strict, +19 gsm8k-flex. GGUF v2 adds fixed runtime metadata, MTP variants and vision-projector support; Qwythos-27B is announced as the next larger Mythos member.
v2 GGUF quantizations of the Qwythos flagship for llama.cpp, Ollama and LM Studio. Fixed Qwen3.5 runtime metadata and embedded chat/tool templates, normal Q4/Q5/Q6/Q8/BF16 replacements, explicit -MTP- variants for draft speculation, plus a vision projector for image input.
OPEN ON HUGGING FACE ↗GGUF quantizations of the Qwable flagship for llama.cpp, Ollama and LM Studio. Run the Claude Fable 5 distill locally on CPU or a single GPU.
OPEN ON HUGGING FACE ↗Reasoning distill of openNemo-9B. SFT + DPO on ~21k Claude Opus 4.6 reasoning traces. NVIDIA OML.
OPEN ON HUGGING FACE ↗Safety alignment removed via Snakehead, an internal abliteration tool for hybrid Mamba2 + sparse-attention architectures. Refusal rate 97% → 13%, KL 0.022. Research use only.
OPEN ON HUGGING FACE ↗GGUF builds for llama.cpp / Ollama / LM Studio across openNemo-9B, Qwen3.5-9B-Claude-Opus and Qwen3.5-9B-Claude-Code.
OPEN ON HUGGING FACE ↗~63M GPT-2 trained from scratch on public-domain scripture. Built with spare compute as a tribute to Terry A. Davis. Not a serious model — a side project, kept around because it's honest about what it is.
OPEN ON HUGGING FACE ↗Follow the build.
An occasional dispatch from the lab — progress on Qwythos and Claire, what we found with microverse, new Abacus releases and the one thing we got wrong that week. No hype, no roadmap theatre. Cancel from any line.