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Gistral-16B-GGUF

Transformers
GGUF
mistral
gistral
gistral-16b
128k
metamath
grok-1
anthropic
openhermes
instruct
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metadata
base_model: ehristoforu/Gistral-16B
datasets:
  - HuggingFaceH4/grok-conversation-harmless
  - HuggingFaceH4/ultrachat_200k
  - HuggingFaceH4/ultrafeedback_binarized_fixed
  - HuggingFaceH4/cai-conversation-harmless
  - meta-math/MetaMathQA
  - emozilla/yarn-train-tokenized-16k-mistral
  - snorkelai/Snorkel-Mistral-PairRM-DPO-Dataset
  - microsoft/orca-math-word-problems-200k
  - m-a-p/Code-Feedback
  - teknium/openhermes
  - lksy/ru_instruct_gpt4
  - IlyaGusev/ru_turbo_saiga
  - IlyaGusev/ru_sharegpt_cleaned
  - IlyaGusev/oasst1_ru_main_branch
language:
  - en
  - fr
  - ru
  - de
  - ja
  - ko
  - zh
  - it
  - uk
  - multilingual
  - code
library_name: transformers
license: apache-2.0
quantized_by: mradermacher
tags:
  - mistral
  - gistral
  - gistral-16b
  - multilingual
  - code
  - 128k
  - metamath
  - grok-1
  - anthropic
  - openhermes
  - instruct
  - merge

About

static quants of https://huggingface.co/ehristoforu/Gistral-16B

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 6.4
GGUF IQ3_XS 7.0
GGUF Q3_K_S 7.4
GGUF IQ3_S 7.4 beats Q3_K*
GGUF IQ3_M 7.7
GGUF Q3_K_M 8.2 lower quality
GGUF Q3_K_L 9.0
GGUF IQ4_XS 9.2
GGUF Q4_K_S 9.7 fast, recommended
GGUF Q4_K_M 10.2 fast, recommended
GGUF Q5_K_S 11.7
GGUF Q5_K_M 12.0
GGUF Q6_K 13.9 very good quality
GGUF Q8_0 18.0 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.