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metadata
base_model: allura-org/Mistral-Small-24b-Sertraline-0304
datasets:
  - allenai/tulu-3-sft-personas-instruction-following
  - simplescaling/s1K-1.1
  - simplescaling/s1K-claude-3-7-sonnet
  - FreedomIntelligence/Medical-R1-Distill-Data
  - OpenCoder-LLM/opc-sft-stage1
  - cognitivecomputations/SystemChat-2.0
  - anthracite-org/kalo-opus-instruct-22k-no-refusal
  - allura-org/scienceqa_sharegpt
  - KodCode/KodCode-V1-SFT-R1
language:
  - en
  - zh
library_name: transformers
license: apache-2.0
quantized_by: mradermacher
tags:
  - instruct
  - conversational

About

static quants of https://huggingface.co/allura-org/Mistral-Small-24b-Sertraline-0304

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 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 9.0
GGUF Q3_K_S 10.5
GGUF Q3_K_M 11.6 lower quality
GGUF Q3_K_L 12.5
GGUF Q4_K_S 13.6 fast, recommended
GGUF Q4_K_M 14.4 fast, recommended
GGUF Q5_K_S 16.4
GGUF Q6_K 19.4 very good quality
GGUF Q8_0 25.2 fast, best quality

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):

image.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, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time.