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metadata
base_model: HelpingAI/HelpingAI2.5-10B-1M
language:
  - en
library_name: transformers
license: other
license_link: https://huggingface.co/OEvortex/HelpingAI2.5-5B/blob/main/LICENSE.md
license_name: helpingai
quantized_by: mradermacher
tags:
  - HelpingAI
  - Emotionally-Intelligent
  - EQ-focused
  - Conversational
  - SLM

About

static quants of https://huggingface.co/HelpingAI/HelpingAI2.5-10B-1M

weighted/imatrix quants are available at https://huggingface.co/mradermacher/HelpingAI2.5-10B-1M-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 3.9
GGUF Q3_K_S 4.5
GGUF Q3_K_M 5.0 lower quality
GGUF Q3_K_L 5.3
GGUF IQ4_XS 5.5
GGUF Q4_K_S 5.8 fast, recommended
GGUF Q4_K_M 6.1 fast, recommended
GGUF Q5_K_S 6.9
GGUF Q5_K_M 7.1
GGUF Q6_K 8.1 very good quality
GGUF Q8_0 10.5 fast, best quality
GGUF f16 19.7 16 bpw, overkill

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.