# Scientific Q&A
Openthinker3 7B GGUF
Apache-2.0
OpenThinker3-7B-GGUF is a quantized version of open-thoughts/OpenThinker3-7B, optimized for efficient inference. It is fine-tuned based on Qwen/Qwen2.5-7B-Instruct and performs excellently on mathematical, code, and scientific problems.
Large Language Model
Transformers

O
QuantFactory
114
2
Falcon H1 7B Instruct
Other
Falcon-H1 is an efficient hybrid architecture language model developed by TII, combining the strengths of Transformers and Mamba architectures, supporting English and multilingual tasks.
Large Language Model
Transformers

F
tiiuae
4,246
7
Falcon H1 3B Instruct
Other
Falcon-H1 is a causal decoder-only language model developed by TII with a hybrid Transformers+Mamba architecture, supporting English and multilingual tasks.
Large Language Model
Transformers

F
tiiuae
380
4
Yulan Mini Instruct
MIT
YuLan-Mini-Instruct is a compact yet powerful 2.4-billion-parameter text generation model, specializing in mathematical and code reasoning tasks with support for both English and Chinese.
Large Language Model
Transformers Supports Multiple Languages

Y
yulan-team
97
2
Einstein V4 7B
Other
Einstein-v4-7B is a large language model fully fine-tuned on diverse scientific datasets based on Mistral-7B-v0.1, specializing in STEM field tasks
Large Language Model
Transformers English

E
Weyaxi
43
49
Flan T5 Xxl
Apache-2.0
FLAN-T5 is an instruction-fine-tuned language model based on T5, achieving superior performance through fine-tuning on over 1,000 multilingual tasks with the same parameter count
Large Language Model Supports Multiple Languages
F
google
157.41k
1,238
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