mradermacher/Hare-1.1B-base-GGUF

---

arxiv: 2406.11410 base_model: LiteAI-Team/Hare-1.1B-base datasets:

• cerebras/SlimPajama-627B
• HuggingFaceTB/cosmopedia

language:

• en

library_name: transformers license: apache-2.0 quantized_by: mradermacher tags:

• Hare

---

About

static quants of https://huggingface.co/LiteAI-Team/Hare-1.1B-base

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	0.5
GGUF	IQ3_XS	0.6
GGUF	Q3K_S	0.6
GGUF	IQ3S	0.6	beats Q3K*
GGUF	IQ3_M	0.6
GGUF	Q3K_M	0.7	lower quality
GGUF	Q3K_L	0.7
GGUF	IQ4_XS	0.7
GGUF	Q4K_S	0.8	fast, recommended
GGUF	Q4K_M	0.8	fast, recommended
GGUF	Q5K_S	0.9
GGUF	Q5K_M	0.9
GGUF	Q6_K	1.0	very good quality
GGUF	Q8_0	1.3	fast, best quality
GGUF	f16	2.3	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.