πŸ“‹ Model Description


base_model: RWKV/v6-Finch-7B-HF language:
  • en
library_name: transformers license: apache-2.0 quantized_by: mradermacher

About






weighted/imatrix quants of https://huggingface.co/RWKV/v6-Finch-7B-HF


static quants are available at https://huggingface.co/mradermacher/v6-Finch-7B-HF-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_S2.2for the desperate
GGUFi1-IQ1_M2.4mostly desperate
GGUFi1-IQ2_XXS2.7
GGUFi1-IQ2_XS2.9
GGUFi1-IQ2_S2.9
GGUFi1-IQ2_M3.1
GGUFi1-Q2K_S3.2very low quality
GGUFi1-Q2K3.2IQ3XXS probably better
GGUFi1-IQ3_XXS3.6lower quality
GGUFi1-IQ3_M3.9
GGUFi1-IQ3S3.9beats Q3K*
GGUFi1-IQ3_XS3.9
GGUFi1-Q3KL3.9IQ3M probably better
GGUFi1-Q3KM3.9IQ3S probably better
GGUFi1-Q3KS3.9IQ3XS probably better
GGUFi1-IQ4_XS4.7
GGUFi1-IQ4NL4.9prefer IQ4XS
GGUFi1-Q4_04.9fast, low quality
GGUFi1-Q404_44.9fast on arm, low quality
GGUFi1-Q404_84.9fast on arm+i8mm, low quality
GGUFi1-Q408_84.9fast on arm+sve, low quality
GGUFi1-Q4K_M4.9fast, recommended
GGUFi1-Q4K_S4.9optimal size/speed/quality
GGUFi1-Q4_15.3
GGUFi1-Q5K_M5.8
GGUFi1-Q5K_S5.8
GGUFi1-Q6K6.7practically 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
v6-Finch-7B-HF.i1-IQ1_M.gguf
LFS
2.12 GB Download
v6-Finch-7B-HF.i1-IQ1_S.gguf
LFS
1.97 GB Download
v6-Finch-7B-HF.i1-IQ2_M.gguf
LFS Q2
2.81 GB Download
v6-Finch-7B-HF.i1-IQ2_S.gguf
LFS Q2
2.6 GB Download
v6-Finch-7B-HF.i1-IQ2_XS.gguf
LFS Q2
2.58 GB Download
v6-Finch-7B-HF.i1-IQ2_XXS.gguf
LFS Q2
2.38 GB Download
v6-Finch-7B-HF.i1-IQ3_M.gguf
LFS Q3
3.55 GB Download
v6-Finch-7B-HF.i1-IQ3_S.gguf
LFS Q3
3.55 GB Download
v6-Finch-7B-HF.i1-IQ3_XS.gguf
LFS Q3
3.55 GB Download
v6-Finch-7B-HF.i1-IQ3_XXS.gguf
LFS Q3
3.21 GB Download
v6-Finch-7B-HF.i1-IQ4_NL.gguf
LFS Q4
4.45 GB Download
v6-Finch-7B-HF.i1-IQ4_XS.gguf
LFS Q4
4.24 GB Download
v6-Finch-7B-HF.i1-Q2_K.gguf
LFS Q2
2.87 GB Download
v6-Finch-7B-HF.i1-Q2_K_S.gguf
LFS Q2
2.87 GB Download
v6-Finch-7B-HF.i1-Q3_K_L.gguf
LFS Q3
3.55 GB Download
v6-Finch-7B-HF.i1-Q3_K_M.gguf
LFS Q3
3.55 GB Download
v6-Finch-7B-HF.i1-Q3_K_S.gguf
LFS Q3
3.55 GB Download
v6-Finch-7B-HF.i1-Q4_0.gguf
Recommended LFS Q4
4.45 GB Download
v6-Finch-7B-HF.i1-Q4_0_4_4.gguf
LFS Q4
4.45 GB Download
v6-Finch-7B-HF.i1-Q4_0_4_8.gguf
LFS Q4
4.45 GB Download
v6-Finch-7B-HF.i1-Q4_0_8_8.gguf
LFS Q4
4.45 GB Download
v6-Finch-7B-HF.i1-Q4_1.gguf
LFS Q4
4.87 GB Download
v6-Finch-7B-HF.i1-Q4_K_M.gguf
LFS Q4
4.45 GB Download
v6-Finch-7B-HF.i1-Q4_K_S.gguf
LFS Q4
4.45 GB Download
v6-Finch-7B-HF.i1-Q5_K_M.gguf
LFS Q5
5.29 GB Download
v6-Finch-7B-HF.i1-Q5_K_S.gguf
LFS Q5
5.29 GB Download
v6-Finch-7B-HF.i1-Q6_K.gguf
LFS Q6
6.19 GB Download