πŸ“‹ Model Description


base_model: internlm/OREAL-7B datasets:
  • internlm/OREAL-RL-Prompts
language:
  • en
library_name: transformers license: apache-2.0 quantized_by: mradermacher

About






weighted/imatrix quants of https://huggingface.co/internlm/OREAL-7B


static quants are available at https://huggingface.co/mradermacher/OREAL-7B-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)

LinkTypeSize/GBNotes
GGUFi1-IQ1_S2.0for the desperate
GGUFi1-IQ1_M2.1mostly desperate
GGUFi1-IQ2_XXS2.4
GGUFi1-IQ2_XS2.6
GGUFi1-IQ2_S2.7
GGUFi1-IQ2_M2.9
GGUFi1-Q2K_S2.9very low quality
GGUFi1-Q2K3.1IQ3XXS probably better
GGUFi1-IQ3_XXS3.2lower quality
GGUFi1-IQ3_XS3.4
GGUFi1-Q3KS3.6IQ3XS probably better
GGUFi1-IQ3S3.6beats Q3K*
GGUFi1-IQ3_M3.7
GGUFi1-Q3KM3.9IQ3S probably better
GGUFi1-Q3KL4.2IQ3M probably better
GGUFi1-IQ4_XS4.3
GGUFi1-IQ4NL4.5prefer IQ4XS
GGUFi1-Q4_04.5fast, low quality
GGUFi1-Q4K_S4.6optimal size/speed/quality
GGUFi1-Q4K_M4.8fast, recommended
GGUFi1-Q4_15.0
GGUFi1-Q5K_S5.4
GGUFi1-Q5K_M5.5
GGUFi1-Q6K6.4practically like static Q6K
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. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.

πŸ“‚ GGUF File List

πŸ“ Filename πŸ“¦ Size ⚑ Download
OREAL-7B.i1-IQ1_M.gguf
LFS
1.9 GB Download
OREAL-7B.i1-IQ1_S.gguf
LFS
1.77 GB Download
OREAL-7B.i1-IQ2_M.gguf
LFS Q2
2.59 GB Download
OREAL-7B.i1-IQ2_S.gguf
LFS Q2
2.42 GB Download
OREAL-7B.i1-IQ2_XS.gguf
LFS Q2
2.3 GB Download
OREAL-7B.i1-IQ2_XXS.gguf
LFS Q2
2.12 GB Download
OREAL-7B.i1-IQ3_M.gguf
LFS Q3
3.33 GB Download
OREAL-7B.i1-IQ3_S.gguf
LFS Q3
3.26 GB Download
OREAL-7B.i1-IQ3_XS.gguf
LFS Q3
3.12 GB Download
OREAL-7B.i1-IQ3_XXS.gguf
LFS Q3
2.9 GB Download
OREAL-7B.i1-IQ4_NL.gguf
LFS Q4
4.13 GB Download
OREAL-7B.i1-IQ4_XS.gguf
LFS Q4
3.93 GB Download
OREAL-7B.i1-Q2_K.gguf
LFS Q2
2.81 GB Download
OREAL-7B.i1-Q2_K_S.gguf
LFS Q2
2.64 GB Download
OREAL-7B.i1-Q3_K_L.gguf
LFS Q3
3.81 GB Download
OREAL-7B.i1-Q3_K_M.gguf
LFS Q3
3.55 GB Download
OREAL-7B.i1-Q3_K_S.gguf
LFS Q3
3.25 GB Download
OREAL-7B.i1-Q4_0.gguf
Recommended LFS Q4
4.14 GB Download
OREAL-7B.i1-Q4_1.gguf
LFS Q4
4.54 GB Download
OREAL-7B.i1-Q4_K_M.gguf
LFS Q4
4.36 GB Download
OREAL-7B.i1-Q4_K_S.gguf
LFS Q4
4.15 GB Download
OREAL-7B.i1-Q5_K_M.gguf
LFS Q5
5.07 GB Download
OREAL-7B.i1-Q5_K_S.gguf
LFS Q5
4.95 GB Download
OREAL-7B.i1-Q6_K.gguf
LFS Q6
5.82 GB Download