ModelHub XC 4262895e10 初始化项目,由ModelHub XC社区提供模型
Model: mradermacher/Einstein-v7-Qwen2-7B-GGUF
Source: Original Platform
2026-06-14 22:56:29 +08:00

base_model, datasets, language, library_name, license, quantized_by, tags
base_model datasets language library_name license quantized_by tags
Weyaxi/Einstein-v7-Qwen2-7B
allenai/ai2_arc
camel-ai/physics
camel-ai/chemistry
camel-ai/biology
camel-ai/math
metaeval/reclor
openbookqa
mandyyyyii/scibench
derek-thomas/ScienceQA
TIGER-Lab/ScienceEval
jondurbin/airoboros-3.2
LDJnr/Capybara
Cot-Alpaca-GPT4-From-OpenHermes-2.5
STEM-AI-mtl/Electrical-engineering
knowrohit07/saraswati-stem
sablo/oasst2_curated
lmsys/lmsys-chat-1m
TIGER-Lab/MathInstruct
bigbio/med_qa
meta-math/MetaMathQA-40K
openbookqa
piqa
metaeval/reclor
derek-thomas/ScienceQA
scibench
sciq
Open-Orca/SlimOrca
migtissera/Synthia-v1.3
TIGER-Lab/ScienceEval
allenai/WildChat
microsoft/orca-math-word-problems-200k
openchat/openchat_sharegpt4_dataset
teknium/GPTeacher-General-Instruct
m-a-p/CodeFeedback-Filtered-Instruction
totally-not-an-llm/EverythingLM-data-V3
HuggingFaceH4/no_robots
OpenAssistant/oasst_top1_2023-08-25
WizardLM/WizardLM_evol_instruct_70k
abacusai/SystemChat-1.1
H-D-T/Buzz-V1.2
en
transformers other mradermacher
axolotl
instruct
finetune
chatml
gpt4
synthetic data
science
physics
chemistry
biology
math
qwen
qwen2

About

static quants of https://huggingface.co/Weyaxi/Einstein-v7-Qwen2-7B

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Einstein-v7-Qwen2-7B-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 3.1
GGUF IQ3_XS 3.4
GGUF Q3_K_S 3.6
GGUF IQ3_S 3.6 beats Q3_K*
GGUF IQ3_M 3.7
GGUF Q3_K_M 3.9 lower quality
GGUF Q3_K_L 4.2
GGUF IQ4_XS 4.4
GGUF Q4_K_S 4.6 fast, recommended
GGUF Q4_K_M 4.8 fast, recommended
GGUF Q5_K_S 5.4
GGUF Q5_K_M 5.5
GGUF Q6_K 6.4 very good quality
GGUF Q8_0 8.2 fast, best quality
GGUF f16 15.3 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/Einstein-v7-Qwen2-7B-GGUF
Readme 28 KiB