ModelHub XC a4519860aa 初始化项目,由ModelHub XC社区提供模型
Model: mradermacher/ablation-134-geniac.gbs128.5e6-shisa-v2-llama-3.1-8b-GGUF
Source: Original Platform
2026-05-25 23:22:22 +08:00

base_model, datasets, language, library_name, license, mradermacher, quantized_by, tags
base_model datasets language library_name license mradermacher quantized_by tags
shisa-v2-dev/ablation-134-geniac.gbs128.5e6-shisa-v2-llama-3.1-8b
shisa-ai/shisa-v2-best-of-n-athenev2-tulu70b-llama33-only-no-sysprompt
shisa-ai/shisa-v2-roleplaying-sft
shisa-ai/translation_expanded_master_set_filtered
shisa-ai/rewild-set
shisa-ai/magpie-ultra-set
shisa-ai/magpie-advanced-questions-set
shisa-ai/japan-magpie-set
shisa-ai/ko_dataset_conversations
shisa-ai/tmmluplus_sim
en
transformers llama3.1
readme_rev
1
mradermacher
generated_from_trainer

About

static quants of https://huggingface.co/shisa-v2-dev/ablation-134-geniac.gbs128.5e6-shisa-v2-llama-3.1-8b

For a convenient overview and download list, visit our model page for this model.

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 3.3
GGUF Q3_K_S 3.8
GGUF Q3_K_M 4.1 lower quality
GGUF Q3_K_L 4.4
GGUF IQ4_XS 4.6
GGUF Q4_K_S 4.8 fast, recommended
GGUF Q4_K_M 5.0 fast, recommended
GGUF Q5_K_S 5.7
GGUF Q5_K_M 5.8
GGUF Q6_K 6.7 very good quality
GGUF Q8_0 8.6 fast, best quality
GGUF f16 16.2 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.

Description
Model synced from source: mradermacher/ablation-134-geniac.gbs128.5e6-shisa-v2-llama-3.1-8b-GGUF
Readme 27 KiB