DeepReinforce

Ornith 1.0 9B

Name: Ornith 1.0 9B
Rating: 77 (185 reviews)
Author: DeepReinforce

Frontier

HuggingFace

1.6MDownloads487LikesJun 2026Veröffentlicht262K TokenKontextMITLizenz66 GutQualität

Ornith 1.0 9B (9.399999618530273B parameters) requires approximately 7.7 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 9 GB of VRAM.

Loslegen

— kopieren & einfügen, um lokal auszuführen

Copy-paste commands to run Ornith 1.0 9B on your machine.

Run

docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \
  --hf-repo "deepreinforce-ai/Ornith-1.0-9B" \
  --hf-file "Ornith-1.0-9B-Q4_K_M.gguf" \
  -c 4096 -ngl 99

Quick specs

Parameters9.4B

Architecturedense

Context262K tokens

Modalitytext

Min RAM3.7 GB

Rec. RAM5.7 GB (Q4_K_M)

LicenseMIT

FamilyOrnith

✓ Code✓ Reasoning

About this model

Ornith-1.0-9B is the most lightweight member of DeepReinforce's self-improving Ornith family of open coding agents, post-trained on top of Qwen 3.5. At 9.4B dense parameters with a 262K context and a hybrid linear/full-attention backbone, it is designed for efficient single-GPU agentic coding, and is MIT licensed with no regional restrictions.

•9.4B dense — the lightest Ornith, sized for a single consumer GPU.
•Self-improving RL: jointly optimizes solution rollouts and the scaffolds that drive them.
•SOTA among comparable open models on Terminal-Bench 2.1, SWE-Bench, NL2Repo and OpenClaw.
•262K context with hybrid linear + full attention (1-in-4 layers).
•MIT licensed, globally accessible.

Verwandte Modelle

Schnellauswahl

Bestes BudgetA

Intel Arc B570 10GB~$219 — 29 tok/s

Beste GesamtwahlA

RTX 3080 Ti 12GB~$1,199 — 127 tok/s

Beste Hardware

Top-Empfehlungen für Ornith 1.0 9B

Dieses Modell ausführen

Ornith 1.0 9B on RTX 3080 Ti 12GB Ornith 1.0 9B on RTX 3080 12GB Ornith 1.0 9B on RTX 5070 12GB

Quantisierungsoptionen

VRAM-Schätzungen nach Quantisierungsstufe

No hardware detected — fit column shows raw VRAM estimates

Quant	Bits	VRAM	Quality	Fit
Q1_0_G128	1.125	1.4 GB	Very Low	—
Q2_0_G128	1.71	2.5 GB	Low	—
Q2_K	2	3.7 GB	Low	—
Q3_K_S	3	4.6 GB	Low	—
NVFP4	4	5.3 GB	Medium	—
Q4_K_M	4	5.7 GB	Medium	—
Q5_K_M	5	6.8 GB	High	—
Q6_K	6	7.7 GB	High	—
Q8_0	8	10.1 GB	Very High	—
F16	16	19.3 GB	Maximum	—

Quality benchmarks

Ornith 1.0 9B benchmark scores

Benchmark verified

Coding

SWE-bench Verified69.4%

HumanEval+—

Aider Polyglot—

LiveCodeBench—

Source: official · 2026-06-21

Hardware-Kompatibilität

Eignungsschätzungen für alle Hardware

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Computing compatibility...

Speicheraufschlüsselung

Reference: RTX 2060 6GB

Weights5.7 GB

KV Cache0.5 GB

Runtime0.9 GB

Headroom0.6 GB

Häufig gestellte Fragen

FAQ — Ornith 1.0 9B

Siehe auch

Quantisierungsleitfaden Bewertungsmethodik Rechner öffnen