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
static quants of https://huggingface.co/TroyDoesAI/Codestral-21B-Pruned
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Codestral-21B-Pruned-i1-GGUF
Usage
If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs 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 | Q2_K | 8.1 | |
| GGUF | IQ3_XS | 9.0 | |
| GGUF | Q3_K_S | 9.4 | |
| GGUF | IQ3_S | 9.5 | beats Q3_K* |
| GGUF | IQ3_M | 9.8 | |
| GGUF | Q3_K_M | 10.5 | lower quality |
| GGUF | Q3_K_L | 11.4 | |
| GGUF | IQ4_XS | 11.7 | |
| GGUF | Q4_K_S | 12.3 | fast, recommended |
| GGUF | Q4_K_M | 12.9 | fast, recommended |
| GGUF | Q5_K_S | 14.9 | |
| GGUF | Q5_K_M | 15.3 | |
| GGUF | Q6_K | 17.7 | very good quality |
| GGUF | Q8_0 | 22.9 | fast, best quality |
Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):
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, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time.