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Liberated-Qwen1.5-7B-GGUF

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metadata
base_model: abacusai/Liberated-Qwen1.5-7B
datasets:
  - teknium/OpenHermes-2.5
  - m-a-p/Code-Feedback
  - m-a-p/CodeFeedback-Filtered-Instruction
  - abacusai/SystemChat
language:
  - en
library_name: transformers
license: other
license_link: https://huggingface.co/Qwen/Qwen1.5-72B/blob/main/LICENSE
license_name: tongyi-qianwen
quantized_by: mradermacher

About

static quants of https://huggingface.co/abacusai/Liberated-Qwen1.5-7B

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Liberated-Qwen1.5-7B-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 3.2
GGUF Q3_K_S 3.7
GGUF Q3_K_M 4.0 lower quality
GGUF Q3_K_L 4.3
GGUF IQ4_XS 4.4
GGUF Q4_K_S 4.6 fast, recommended
GGUF Q4_K_M 4.9 fast, recommended
GGUF Q5_K_S 5.5
GGUF Q5_K_M 5.6
GGUF Q6_K 6.4 very good quality
GGUF Q8_0 8.3 fast, best quality
GGUF f16 15.5 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.