# 70B Large Model
L3.3 70B Magnum Diamond GGUF
A large language model with 70B parameters based on the Llama 3 prompt format, optimized for role-playing and creative writing, offering a GGUF quantized version.
Large Language Model English
L
Doctor-Shotgun
614
1
E N V Y Legion V2.1 LLaMa 70B Elarablated V0.8 Hf GGUF
Legion-V2.1-LLaMa-70B-Elarablated-v0.8-hf is a quantized version based on LLaMa-70B, optimized using llama.cpp, offering multiple quantization options to accommodate different hardware requirements.
Large Language Model
E
bartowski
267
1
Deepcogito Cogito V1 Preview Llama 70B 6bit
This is a large language model with 70B parameters based on the Llama architecture, which has undergone 6-bit quantization and is suitable for text generation tasks.
Large Language Model
D
mlx-community
8,168
1
Llama 3.3 70B Instruct Quantized.w8a8
This is a quantized version of Llama-3.3-70B-Instruct. It supports multilingual text generation and can be used in commercial and research scenarios, performing excellently in multiple benchmark tests.
Large Language Model
Safetensors Supports Multiple Languages
L
RedHatAI
19.02k
7
Llama 3.3 70B Instruct Abliterated Finetuned GPTQ Int8
This is the GPTQ 8-bit quantized version of the Llama-3.3-70B-Instruct model, fine-tuned and optimized for conversational reasoning tasks.
Large Language Model
Transformers Supports Multiple Languages

L
huihui-ai
7,694
12
Llama 3 70B Instruct Abliterated GGUF
A Meta LLaMA-3 70B-based instruction-tuned model, quantized for local deployment and efficient inference.
Large Language Model
L
bartowski
686
6
Boreangale 70B
Other
BoreanGale-70B is a 70B-parameter large language model merged using a custom algorithm (NearSwap), combining the miqu-1-70b-sf and WinterGoddess-1.4x-70B-L2 models.
Large Language Model
Transformers

B
alchemonaut
17
5
Xwin LM 7B V0.1
Xwin-LM is a large language model alignment solution based on Llama2, focusing on enhancing the model's alignment capabilities, including supervised fine-tuning and reward modeling techniques. The 7B version performs excellently in the AlpacaEval benchmark.
Large Language Model
Transformers

X
Xwin-LM
755
77
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