Instructions to use GetBeholder/Beholder-q4f16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use GetBeholder/Beholder-q4f16 with MLC-LLM:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Commit History
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gc4b (v11 beta) q4f16: new shards + wasm + version.json bump v10->v11 (cache-bust)
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v10 (cross-attribution v2): gc3 q4f16 clean weight-swap — new params + tensor-cache + version v9->v10 (wasm/config unchanged)
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v9 (persona-sink fix): gc2 q4f16 clean weight-swap — new params + tensor-cache + version v8->v9 (wasm/config/tokenizer unchanged)
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gc1 -> v8 (grounding-clean): weight-swap + version bump v7->v8; worn P +5pts on gold, removal 38/38, drift Q4 |Δ|<=0.04
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v7 cross-attribution build (54->85%); weights+config+version, wasm unchanged
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tkaug (v0.6, removal-capable): q4f16 bundle, version 0.6.0-tkaug
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rc-cpc2-pad (0.8B, worn 0.67 @ max-new 2048; padding+bronze recipe) — overwrite 2026-07-05
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v5: MIN short-prompt build (q4f16) + clean README
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Add throwaway Qwen3.5 q4f16 WebLLM bundle (weights + config + tokenizer + WebGPU .wasm)
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