unsloth/Ornith-1.5-122B-GGUF

text-generation model by unsloth

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See Unsloth Dynamic 3.0 GGUFs for our quantization benchmarks. Chirp Chirp! 🐦 We are introducing Ornith-1.5, a major step toward building foundation models through end-to-end self-improvement. Ornith-1.5 extends Ornith-1.0 (which was developed on top of Qwen3.5 and Gemma4 with additional continued pretraining, mid-training, and post-training) by expanding the self-improvement loop from scaffold and rollout optimization to jointly optimizing task generation, scaffold construction, and solution rollouts. Rather than relying on a fixed set of human-curated tasks and manually designed harnesses, Ornith-1.5 continuously generates new training tasks, discovers effective strategies for solving them, and improves the policy through reinforcement learning. For more details on the task, harness, and rollout reward design, please refer to our blog. This model card documents Ornith-1.5-122B, the most lightweight member of the Ornith-1.5 family — a 122B MOE model designed for efficient single-GPU deployment, and edge-deployable on mobile devices via its quantized Ornith-1.5-122B-Mobile variant. Ornith-1.5-122B Qwen3.8-Flash-Next (125B)…

unsloth/Ornith-1.5-122B-GGUF on Hugging Face A short preview, not the full document.

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  1. Run Ornith-1.5-122B via the Unsloth Desktop
  2. Ornith-1.5-122B
  3. Ornith 1.5 122B
  4. Benchmarks
  5. Quickstart
  6. Serving Ornith-1.5-122B
  7. For Long-Context
  8. Using Ornith-1.5-122B via the Chat Completions API
  9. Basic Usage
  10. Agentic Usage
  11. Ollama
  12. Atomic.chat

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Model overview

unsloth/Ornith-1.5-122B-GGUF is a text-generation model repository published by unsloth on Hugging Face. A library was not reported.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
text-generation
Library
Not reported
Recent downloads (30 days)
57,333
Cumulative likes
80
Hugging Face trending score
79
Reported safetensors parameters
Not reported
Architecture
Not reported
License
mit
Access
Not gated by Hugging Face
Created
2026-10-20T03:26:49.000Z
Last modified
2026-10-21T20:05:20.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: ornith-ai/Ornith-1.5-122B

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Source: Hugging Face Hub. Metadata observed 2026-10-27T06:46:19.176Z. Daily imports are snapshots, not real-time monitoring.

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