DeepReinforce

Ornith 1.0 9B

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

Frontera

HuggingFace

1.6MDescargas487Me gustaJun 2026Publicado262K tokensContextoMITLicencia66 BuenoCalidad

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.

Comenzar

— copia y pega para ejecutar en local

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.

Modelos relacionados

Selecciones rápidas

Mejor económicoA

Intel Arc B570 10GB~$219 — 29 tok/s

Mejor en generalA

RTX 3080 Ti 12GB~$1,199 — 127 tok/s

Mejor hardware

Mejores opciones para Ornith 1.0 9B

Ejecutar 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

Opciones de cuantización

Estimaciones de VRAM por nivel de cuantización

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

Compatibilidad de hardware

Estimaciones de encaje en todo el hardware

Abrir calculadora

Computing compatibility...

Desglose de memoria

Reference: RTX 2060 6GB

Weights5.7 GB

KV Cache0.5 GB

Runtime0.9 GB

Headroom0.6 GB

Preguntas frecuentes

FAQ — Ornith 1.0 9B

Ver también

Guía de cuantización Metodología de puntuación Abrir calculadora