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This repository hosts importance-matrix (imatrix) optimized GGUF weights, available in multiple quantization formats, and the associated vision projection matrix for **Qwen3.5-4B-heretic**, quantized from the source floating-point tensors provided by coder3101/Qwen3.5-4B-heretic. **🔄 Sister Repository:** Check out the Standard GGUF Sister Repository for uncalibrated and full 8-bit precision options. An **Importance Matrix (imatrix)** calculation tracks activations across network layers using a calibration sequence, then weights the quantization process to preserve the parameters that matter most for output quality — improving fidelity at low bit depths.

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基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

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基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

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TypoFormer

fahiiim

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

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Text generation
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indobert_ner_p1

fahmisyaifudin

This repository contains a fine-tuned IndoBERT model for Indonesian Named Entity Recognition, wrapped in a HuggingFace-compatible pipeline for easy usage. - **PERSON** — Names of individual humans - **REPRESENTATIVE_PERSON** — Government/public roles - **POLITICAL_ORGANIZATION** — Constitutional political institutions - **ORGANIZATION** — Companies, universities, BUMN , NGOs - **LAW** — UU, UUD, Kepres - **EVENT** — National events, gov programs

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--- library_name: transformers license: other license_name: mnpl license_link: https://mistral.ai/licences/MNPL-0.1.md tags: - code language: - code --- This is mistralai/Codestral-22B-v0.1 with orthogonalized bfloat16 safetensor weights, generated with a refined methodology based on that which was described in the preview paper/blog post: 'Refusal in LLMs is mediated by a single direction' which I encourage you to read to understand more. TL;DR: This model has had certain weights manipulated to "inhibit" the model's ability to express refusal. It is not in anyway _guaranteed_ that it won't refuse you, understand your request, it may still lecture you about ethics/safety, etc. It is tuned in all other respects the same as the original 22B model was, just with the strongest refusal directions orthogonalized out.

Text generation
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This is meta-llama/Llama-3-70B-Instruct with orthogonalized bfloat16 safetensor weights, generated with the methodology that was described in the preview paper/blog post: 'Refusal in LLMs is mediated by a single direction' which I encourage you to read to understand more. TL;DR: this model has had certain weights manipulated to "inhibit" the model's ability to express refusal. It is not in anyway _guaranteed_ that it won't refuse you, understand your request, it may still lecture you about ethics/safety, etc. It is tuned in all other respects the same as the original 70B instruct model was, just with the strongest refusal direction orthogonalized out. In the repo, I've included `refusal_dir.pth` If you have Llama-3-70B-Instruct model downloaded already, you can use the ortho cookbook to apply it to your downloaded model, which will make it the same as what you'd download from here.

Text generation
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This is meta-llama/Meta-Llama-3-70B-Instruct with orthogonalized bfloat16 safetensor weights, generated with a refined methodology based on that which was described in the preview paper/blog post: 'Refusal in LLMs is mediated by a single direction' which I encourage you to read to understand more. Second try. I felt that the V3 methodology of 70B wasn't well applied, and u/Nexesenex on reddit kinda confirmed my suspicions. So go blame them. :P This one has only a single layer modified(!) and that seems to have completely eliminated moralizing disclaimers.

Text generation
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This is meta-llama/Meta-Llama-3-8B-Instruct with orthogonalized bfloat16 safetensor weights, generated with a refined methodology based on that which was described in the preview paper/blog post: 'Refusal in LLMs is mediated by a single direction' which I encourage you to read to understand more. TL;DR: This model has had certain weights manipulated to "inhibit" the model's ability to express refusal. It is not in anyway _guaranteed_ that it won't refuse you, understand your request, it may still lecture you about ethics/safety, etc. It is tuned in all other respects the same as the original 70B instruct model was, just with the strongest refusal directions orthogonalized out. **TL;TL;DR;DR: It's uncensored in the purest form I can manage -- no new or changed behaviour in any other respect from the original model.**

Text generation
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