audenvenn/raceline-qwen3.5-9b
text-generation model by audenvenn
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Qwen/Qwen3.5-9B converted for raceline, a local agent runtime with its own inference engine for Apple Silicon Macs whose GPU has neural accelerators (M5 and M6 families). The model file is the engine's native format: 4-bit FP4 weights with a scale per row and per column (4.0 bits per weight), quantized with GPTQ after a Hadamard rotation of the residual stream that is folded into the weights; the model's multi-token-prediction head, which raceline uses for exact speculative decoding; and the tokenizer and chat template. It is split into parts of under 2 GB described by qwen3.5-9b.rlm.json. It needs…
Read the full model card ↗ · Preview checked 2026-11-12T07:54:21.874Z
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Model overview
audenvenn/raceline-qwen3.5-9b is a text-generation model repository published by audenvenn on Hugging Face. A library was not reported.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- Not reported
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-11-12T06:30:20.000Z
- Last modified
- 2026-11-12T06:49:31.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: Qwen/Qwen3.5-9B
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-12T06:57:10.640Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.