hermitdave/K2-Horizon-7B-Uno-MLX-slq-4.5bpw
text-generation model by hermitdave
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Model card & documentation
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Non-uniform SLQ quantization of the merged IFM/K2-Horizon-7B-Uno model — a diffusion-augmented LLM based on K2-Horizon-7B. The LoRA adapter is baked into the base weights, so it runs as a standard autoregressive model. Upstream model: IFM/K2-Horizon-7B-Uno by Institute of Foundation Models, released under Apache 2.0. Conversion: Quantized to MLX format using Hermes Agent with SLQ-MLX (per-layer greedy allocator, 4.500 bpw target). K2-Horizon-7B is a reasoning model. Always use reasoningeffort="high": Full 2–8 sweep, all 36…
Read the full model card ↗ · Preview checked 2026-10-31T01:28:06.511Z
Inside the original model card — Document outline
- K2-Horizon-7B-Uno MLX SLQ 4.5bpw
- Quickstart
- Reasoning
- Analysis
- Zero-shot recovery (100 examples/task)
- Citation
- License
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
hermitdave/K2-Horizon-7B-Uno-MLX-slq-4.5bpw is a text-generation model repository published by hermitdave on Hugging Face. The source reports the mlx library.
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
- mlx
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 3,138,686,976
- Architecture
- K2HorizonForCausalLM
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-26T06:38:13.000Z
- Last modified
- 2026-10-26T06:46:38.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: IFM/K2-Horizon-7B-Uno
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 2026-10-26T06:47:05.388Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.