Text / TokenRhythm

NeoHorse 1 4B

NeoHorse-1-4B is a 4B causal language model released by TokenRhythm under the apache-2.0 license. It is a fine-tune of Qwen/Qwen3.5-4B, post-trained for text-based agent harnesses, tool use, coding, and instruction following, and described as an initial prototype toward recursive self-improvement. The release contains language-model weights only, is repackaged for text-only inference, and omits vision weights; repackaging changed configuration and tensor key names without changing fine-tuned tensor values.

EstimatedRepository opened Sep 5, 2026Source checked 9/23/2026Version: 56f0584b
LOCALRENTED GPUOPEN WEIGHTS
Freshness 86 out of 100. Repository age: 40 days old, Sep 5, 2026. Measures age, not quality.
Popularity 62 out of 100. 15,703 downloads in 30 days; 2,550 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

Parameters
4.21B
Architecture
qwen3_5_text
Context length
262,144
License
apache-2.0
Disk space
7.8 GB
Software
vLLM
View the model source
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Best for

  • Text generation
  • Tool use within text-based agent harnesses
  • Coding-related tasks
  • Reasoning tasks
  • Instruction following

Tradeoffs

  • Language-model weights only
  • Vision weights are not included
  • Repackaged for text-only inference only
  • Packaged configuration and tensor key names differ due to repackaging
  • Model facts do not document 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-1-4b --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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