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Francois-PE-V2-Huali-12B-GGUF

Transformers
GGUF
English
fine-tuning
prose
KTO
axolotl
finetune
roleplaying
creative-writing
conversational
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metadata
base_model: Delta-Vector/Francois-PE-V2-Huali-12B
datasets:
  - PocketDoc/Dans-Personamaxx-VN
  - NewEden/LIMARP-Complexity
  - NewEden/PIPPA-Mega-Filtered
  - NewEden/OpenCAI-ShareGPT
  - NewEden/Creative_Writing-Complexity
  - NewEden/Light-Novels-Roleplay-Logs-Books-Oh-My-duplicate-turns-removed
  - PocketDoc/Dans-Failuremaxx-Adventure-3
  - NewEden/Books-V2-ShareGPT
  - NewEden/Deepseek-V3-RP-Filtered
  - NewEden/BlueSky-10K-Complexity
  - NewEden/Final-Alpindale-LNs-ShareGPT
  - NewEden/DeepseekRP-Filtered
  - NewEden/RP-logs-V2-Experimental
  - anthracite-org/kalo_opus_misc_240827
  - anthracite-org/kalo_misc_part2
  - NewEden/vanilla-backrooms-claude-sharegpt
  - NewEden/Storium-Prefixed-Clean
  - NewEden/KTO-IF-Dans
  - NewEden/KTO-Instruct-Mix
  - NewEden/Opus-accepted-hermes-rejected-shuffled
language:
  - en
library_name: transformers
quantized_by: mradermacher
tags:
  - fine-tuning
  - prose
  - KTO
  - axolotl
  - finetune
  - roleplaying
  - creative-writing

About

static quants of https://huggingface.co/Delta-Vector/Francois-PE-V2-Huali-12B

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Francois-PE-V2-Huali-12B-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 4.9
GGUF Q3_K_S 5.6
GGUF Q3_K_M 6.2 lower quality
GGUF Q3_K_L 6.7
GGUF IQ4_XS 6.9
GGUF Q4_K_S 7.2 fast, recommended
GGUF Q4_K_M 7.6 fast, recommended
GGUF Q5_K_S 8.6
GGUF Q5_K_M 8.8
GGUF Q6_K 10.2 very good quality
GGUF Q8_0 13.1 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.