auto-patch README.md

README.md

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+---
+base_model: TroyDoesAI/Codestral-21B-Pruned
+language:
+- en
+library_name: transformers
+license: apache-2.0
+quantized_by: mradermacher
+tags:
+- rag
+- context obedient
+- TroyDoesAI
+- Mermaid
+- Flow
+- Diagram
+- Sequence
+- Map
+- Context
+- Accurate
+- Summarization
+- Story
+- Code
+- Coder
+- Architecture
+- Retrieval
+- Augmented
+- Generation
+- AI
+- LLM
+- Mistral
+- LLama
+- Large Language Model
+- Retrieval Augmented Generation
+- Troy Andrew Schultz
+- LookingForWork
+- OpenForHire
+- IdoCoolStuff
+- Knowledge Graph
+- Knowledge
+- Graph
+- Accelerator
+- Enthusiast
+- Chatbot
+- Personal Assistant
+- Copilot
+- lol
+- tags
+- Pruned
+- efficient
+- smaller
+- small
+- local
+- open
+- source
+- open source
+- quant
+- quantize
+- ablated
+- Ablation
+- 'uncensored '
+- unaligned
+- 'bad '
+- alignment
+---
+## About
+
 <!-- ### quantize_version: 2 -->
 <!-- ### output_tensor_quantised: 1 -->
 <!-- ### convert_type: hf -->
 <!-- ### vocab_type:  -->
 <!-- ### tags:  -->
 static quants of https://huggingface.co/TroyDoesAI/Codestral-21B-Pruned
+
+<!-- provided-files -->
+weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
+## Usage
+
+If you are unsure how to use GGUF files, refer to one of [TheBloke's
+READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
+more details, including on how to concatenate multi-part files.
+
+## Provided Quants
+
+(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
+
+| Link | Type | Size/GB | Notes |
+|:-----|:-----|--------:|:------|
+| [GGUF](https://huggingface.co/mradermacher/Codestral-21B-Pruned-GGUF/resolve/main/Codestral-21B-Pruned.Q2_K.gguf) | Q2_K | 8.1 |  |
+| [GGUF](https://huggingface.co/mradermacher/Codestral-21B-Pruned-GGUF/resolve/main/Codestral-21B-Pruned.IQ3_XS.gguf) | IQ3_XS | 9.0 |  |
+| [GGUF](https://huggingface.co/mradermacher/Codestral-21B-Pruned-GGUF/resolve/main/Codestral-21B-Pruned.Q3_K_S.gguf) | Q3_K_S | 9.4 |  |
+| [GGUF](https://huggingface.co/mradermacher/Codestral-21B-Pruned-GGUF/resolve/main/Codestral-21B-Pruned.IQ3_S.gguf) | IQ3_S | 9.5 | beats Q3_K* |
+| [GGUF](https://huggingface.co/mradermacher/Codestral-21B-Pruned-GGUF/resolve/main/Codestral-21B-Pruned.IQ3_M.gguf) | IQ3_M | 9.8 |  |
+| [GGUF](https://huggingface.co/mradermacher/Codestral-21B-Pruned-GGUF/resolve/main/Codestral-21B-Pruned.Q3_K_M.gguf) | Q3_K_M | 10.5 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/Codestral-21B-Pruned-GGUF/resolve/main/Codestral-21B-Pruned.Q3_K_L.gguf) | Q3_K_L | 11.4 |  |
+| [GGUF](https://huggingface.co/mradermacher/Codestral-21B-Pruned-GGUF/resolve/main/Codestral-21B-Pruned.IQ4_XS.gguf) | IQ4_XS | 11.7 |  |
+| [GGUF](https://huggingface.co/mradermacher/Codestral-21B-Pruned-GGUF/resolve/main/Codestral-21B-Pruned.Q4_K_S.gguf) | Q4_K_S | 12.3 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/Codestral-21B-Pruned-GGUF/resolve/main/Codestral-21B-Pruned.Q4_K_M.gguf) | Q4_K_M | 12.9 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/Codestral-21B-Pruned-GGUF/resolve/main/Codestral-21B-Pruned.Q5_K_S.gguf) | Q5_K_S | 14.9 |  |
+| [GGUF](https://huggingface.co/mradermacher/Codestral-21B-Pruned-GGUF/resolve/main/Codestral-21B-Pruned.Q5_K_M.gguf) | Q5_K_M | 15.3 |  |
+| [GGUF](https://huggingface.co/mradermacher/Codestral-21B-Pruned-GGUF/resolve/main/Codestral-21B-Pruned.Q6_K.gguf) | Q6_K | 17.7 | very good quality |
+| [GGUF](https://huggingface.co/mradermacher/Codestral-21B-Pruned-GGUF/resolve/main/Codestral-21B-Pruned.Q8_0.gguf) | Q8_0 | 22.9 | fast, best quality |
+
+Here is a handy graph by ikawrakow comparing some lower-quality quant
+types (lower is better):
+
+![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
+
+And here are Artefact2's thoughts on the matter:
+https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
+
+## FAQ / Model Request
+
+See https://huggingface.co/mradermacher/model_requests for some answers to
+questions you might have and/or if you want some other model quantized.
+
+## Thanks
+
+I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
+me use its servers and providing upgrades to my workstation to enable
+this work in my free time.
+
+<!-- end -->