ModelHub XC 4b05f6fe3a 初始化项目,由ModelHub XC社区提供模型
Model: mradermacher/apollo-astralis-4b-GGUF
Source: Original Platform
2026-06-12 11:26:15 +08:00

base_model, datasets, language, library_name, license, mradermacher, quantized_by, tags
base_model datasets language library_name license mradermacher quantized_by tags
vanta-research/apollo-astralis-4b
vanta-research/poetic-imagery-small
vanta-research/excitement-small
en
transformers apache-2.0
readme_rev
1
mradermacher
reasoning
thinking
conversational
conversational-ai
friendly
empathetic
collaborative
coginitive-architectures
large-language-model
qwen3-thinking
warm
research
VANTA Research
edge devices
frontier
cognitive
chat
logic
LLM
chat
ai-research
ai-alignment-research
ai-alignment
ai-behavior
ai-behavior-research
ai-persona-research
human-ai-collaboration

About

static quants of https://huggingface.co/vanta-research/apollo-astralis-4b

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/apollo-astralis-4b-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 1.8
GGUF Q3_K_S 2.0
GGUF Q3_K_M 2.2 lower quality
GGUF Q3_K_L 2.3
GGUF IQ4_XS 2.4
GGUF Q4_K_S 2.5 fast, recommended
GGUF Q4_K_M 2.6 fast, recommended
GGUF Q5_K_S 2.9
GGUF Q5_K_M 3.0
GGUF Q6_K 3.4 very good quality
GGUF Q8_0 4.4 fast, best quality
GGUF f16 8.2 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/apollo-astralis-4b-GGUF
Readme 27 KiB