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Ornith 1.5 9B GGUF

Ornith 1.5 9B GGUF is the GGUF-format text-generation model card for Ornith-1.5-9B, a 9B dense model in the Ornith-1.5 family. The model card describes Ornith-1.5 as extending Ornith-1.0 through an end-to-end self-improvement approach and lists benchmarks comparing it with Ornith-1.0-9B, Qwen3.5-9B, Qwen3.6-35B-A3B, and Gemma-4-31B. The supplied data also indicates an MIT license and that the base Ornith-1.5-9B model is intended for efficient single-GPU deployment, with a quantized mobile variant noted in the model card.

EstimatedRepository opened Aug 19, 2026Source checked 9/24/2026Version: abdd624b

LOCALRENTED GPUOPEN WEIGHTS

Freshness 80 out of 100. Repository age: 57 days old, Aug 19, 2026. Measures age, not quality.

Popularity 88 out of 100. 5,011,351 downloads in 30 days; 540 lifetime likes. Checked Oct 15, 2026. Measures adoption, not quality.

What do these scores mean?

Two ways to compare models. Neither score measures answer quality, benchmark performance, or whether a model fits your machine.

Freshness · release age

A new release starts at 100. The score halves every 180 days: 100 × 2^(−age in days / 180). When the release date is unavailable, a repository date is a fallback—not proof of when the model was released. Missing dates stay unscored.

Check the date source

Popularity · adoption

Downloads over the past 30 days carry 80% of the score; lifetime likes carry 20%. Both use a logarithmic scale, capped at 10 million downloads and 100,000 likes. If likes are unavailable, downloads carry all the weight. Missing download statistics stay unscored.

round(80 × min(1, log10(1 + downloads) / 7) + 20 × min(1, log10(1 + likes) / 5))

Check the statistics source

Scores as of Oct 15, 2026. Statistics checked Oct 15, 2026. Statistics are marked for refresh after 72 hours.Full scoring method

At a glance

Architecture: unknown
License: mit
Disk space: 5.4 GB
Software: llama.cpp

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Best for

Text generation
Coding-related tasks evaluated in model-card benchmarks
Terminal-based tasks evaluated in model-card benchmarks
Single-GPU deployment as described in the model card
Edge deployment via the mentioned Ornith-1.5-9B-Mobile quantized variant

Tradeoffs

The supplied source data is incomplete and truncated
No full benchmark table values are available for all listed comparisons
No detailed hardware requirements are provided beyond the model card's single-GPU and edge deployment descriptions
No compatibility, performance, or testing claims are included in the supplied data
No license details are provided beyond the MIT license identifier and license link

Ways to run it

llama.cpp · Windows, macOS, Linux

Repository-specific command in publisher documentation; confirm dependencies and hardware in the source.

llama-server -hf hf.co/ornith-ai/Ornith-1.5-9B-GGUF --port 8000 -c 262144

Official instructions

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GGUFTEXT-GENERATION

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