DeepReinforce

Ornith 1.0 9B

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

Frontier

HuggingFace

1.6MDownloads487CurtidasJun 2026Publicado262K tokensContextoMITLicença66 BomQualidade

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.

Comece agora

— copie e cole para rodar localmente

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.

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Melhor custo-benefícioA

Intel Arc B570 10GB~$219 — 29 tok/s

Melhor no geralA

RTX 3080 Ti 12GB~$1,199 — 127 tok/s

Melhor hardware

Melhores opções para Ornith 1.0 9B

Rodar este modelo

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

Opções de quantização

Estimativas de VRAM por nível de quantização

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

Compatibilidade de hardware

Estimativas de compatibilidade para todo o hardware

Abrir calculadora

Computing compatibility...

Detalhamento de memória

Reference: RTX 2060 6GB

Weights5.7 GB

KV Cache0.5 GB

Runtime0.9 GB

Headroom0.6 GB

Perguntas frequentes

FAQ — Ornith 1.0 9B

Veja também

Guia de Quantização Metodologia de Pontuação Abrir calculadora