Text / TokenRhythm

NeoHorse 1 9B

NeoHorse-1-9B is a 9B causal language model released by TokenRhythm under the Apache-2.0 license. It is a fine-tuned derivative of Qwen/Qwen3.5-9B, post-trained for text-based agent harnesses, tool use, coding, reasoning, and instruction following. The release contains language-model weights only and is repackaged for text-only inference; vision weights are not included. The official model card describes it as an initial prototype toward recursive self-improvement and mentions a routing harness that assigns tasks to a heterogeneous model pool, records tool interactions and outcomes, estimates capability demand, and uses capability-level feedback to shape the next training mixture.

EstimatedRepository opened Sep 5, 2026Source checked 9/23/2026Version: ba5b6e40

LOCALRENTED GPUOPEN WEIGHTS

Freshness 86 out of 100. Repository age: 40 days old, Sep 5, 2026. Measures age, not quality.

Popularity 56 out of 100. 6,616 downloads in 30 days; 1,029 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.

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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

Parameters: 8.95B
Architecture: qwen3_5_text
Context length: 262,144
License: apache-2.0
Disk space: 16.7 GB
Software: vLLM

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Best for

Text generation
Coding assistance
Reasoning tasks
Instruction following
Tool use and agentic text-based workflows

Tradeoffs

Language-model weights only; vision weights are not included
Repackaged for text-only inference
Repackaging changes configuration and tensor key names, without changing the fine-tuned tensor values
Described as an initial prototype toward recursive self-improvement
No information provided about performance, compatibility, or hardware requirements

Ways to run it

vLLM · Linux

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

vllm serve "$MODEL_PATH"  --served-model-name neohorse-1-9b  --host 0.0.0.0  --port 8000  --max-model-len 262144  --reasoning-parser qwen3  --enable-auto-tool-choice  --tool-call-parser qwen3_coder

Official instructions

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SAFETENSORSTEXT-GENERATIONCODINGREASONING

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Bonsai 2 · 27B

A compressed 27B-class reasoning model with publisher-provided GGUF packs and a dedicated llama.cpp fork for CUDA, Metal, and CPU.

Freshness 90 out of 100. Release age: 28 days old, Sep 17, 2026. Measures age, not quality.

MODEL SIZE27.36B

LOCALRENTED GPU

Released Sep 17, 2026

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DeepSeek

DeepSeek V4.1 Flash

A multimodal reasoning model with a compressed key-value cache, published as open weights.

Freshness 87 out of 100. Repository age: 35 days old, Sep 10, 2026. Measures age, not quality.

Arena Open Source Text: rank 5 of 225. Ranked model: deepseek-v4.1-flash-max. Export dated Oct 13, 2026. Source checked Oct 15, 2026. Human preference ranking, not hardware suitability.+3

LOCALRENTED GPU

Repository opened Sep 10, 2026

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Qwen

Qwen3.8

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LOCALRENTED GPU

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