Ornith

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https://ornith.ai

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ornith-ai

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Recent Activity

chirpchirp updated a model 20 days ago

ornith-ai/Ornith-1.5-122B-MLX

chirpchirp updated a model 20 days ago

ornith-ai/Ornith-1.5-122B-MLX-8bit

chirpchirp updated a model 20 days ago

ornith-ai/Ornith-1.5-122B-MLX-4bit

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Papers

GrandCode: Achieving Grandmaster Level in Competitive Programming via Agentic Reinforcement Learning

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

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Team members 10
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danielhanchen

posted an update 2 days ago

Post

6,561

Today, we're releasing the highest accuracy Qwen3.8-27B GGUFs!

Our new Dynamic V3.1 GGUFs lead by 5–10% on average across Terminal Bench, DeepSWE & more. We’re working on an even better version for Qwen4.

Run on 12GB RAM setups

GGUF: unsloth/Qwen3.8-27B-GGUF
Blog: https://unsloth.ai/docs/models/qwen3.8

danielhanchen

posted an update 5 days ago

Post

5,891

Qwen3.8-Flash-Next GGUFs now run faster with less thinking and less token use.

Unsloth Dynamic V3.1 GGUFs bring thinking & token use to match 95% of full precision Qwen3.8-Flash.

Results: 50% fewer tokens + 15% higher accuracy vs same size quants.

GGUF: unsloth/Qwen3.8-Flash-Next-GGUF
Analysis/Guide: https://unsloth.ai/docs/models/qwen3.8-next

3 replies

danielhanchen

posted an update 9 days ago

Post

7,373

We’re releasing new Qwen3.8-Flash-Next GGUFs with 15% higher accuracy.

Unsloth Dynamic V3.1 outperforms others by >15% on Terminal Bench, DeepSWE & more benchmarks (256K context).

Run on 32GB+ RAM setups.

GGUF: unsloth/Qwen3.8-Flash-Next-GGUF
Blog: https://unsloth.ai/docs/models/qwen3.8-next

shimmyshimmer

posted an update 9 days ago

Post

829

We benchmarked DeepSeek-V4.1-Flash-1017 GGUFs on Terminal Bench, DeepSWE & more on 512K context. Unsloth ranks #1 overall.

1-bit Unsloth GGUF scores 68.1 on DeepSWE, 72.2 on Terminal-Bench, 52.7 on AutomationBench. >10% ahead of other quants.

GGUF: unsloth/DeepSeek-V4.1-Flash-1017-GGUF

danielhanchen

posted an update 14 days ago

Post

845

We’re releasing new DeepSeek-V4.1-Flash-1017 GGUFs, ranking highest across benchmarks. 🐋

Dynamic V3.1 leads across nearly all benchmarks: GPQA Diamond, AIME25, LiveCodeBench v6, MMLU-Pro, Aider & more.

Run on 64GB+ RAM.

GGUF: unsloth/DeepSeek-V4.1-Flash-1017-GGUF
Blog: https://unsloth.ai/docs/models/deepseek-v4.1-flash

1 reply

danielhanchen

posted an update 15 days ago

Post

2,542

Your local LLM can now take control of a browser and complete tasks autonomously via Unsloth!

Qwen3.8-27B successfully controlled the browser to complete tasks like chess, painting, with no human intervention.

GitHub: https://github.com/unslothai/unsloth
Guide: https://unsloth.ai/docs/basics/browser-use