mistralai/Mixtral-8x7B-Instruct-v0.1

apache-2.0

Model Card for Mixtral-8x7B Tokenization with mistral-common py from mistralcommon.tokens.tokenizers.mistral import MistralTokenizer from mi...

text generationBy mistralai

meta-llama/Llama-2-7b

llama2

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text generationBy meta-llama

meta-llama/Llama-3.1-8B-Instruct

llama3.1

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text generationBy meta-llama

meta-llama/Meta-Llama-3-8B-Instruct

llama3

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text generationBy meta-llama

deepseek-ai/DeepSeek-V3

Paper Link👁️ 1. Introduction We present DeepSeek-V3, a strong Mixture-of-Experts (MoE) language model with 671B total parameters with 37B a...

text generationBy deepseek-ai

mistralai/Mistral-7B-v0.1

apache-2.0

Model Card for Mistral-7B-v0.1 The Mistral-7B-v0.1 Large Language Model (LLM) is a pretrained generative text model with 7 billion parameter...

text generationBy mistralai

tiiuae/falcon-40b

apache-2.0

🚀 Falcon-40B Falcon-40B is a 40B parameters causal decoder-only model built by TII( and trained on 1,000B tokens of RefinedWeb( enhanced wi...

text generationBy tiiuae

microsoft/phi-2

mit

Model Summary Phi-2 is a Transformer with 2.7 billion parameters. It was trained using the same data sources as Phi-1.5( augmented with a ne...

text generationBy microsoft

mistralai/Mixtral-8x7B-v0.1

apache-2.0

Model Card for Mixtral-8x7B The Mixtral-8x7B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts. The Mistral-8x...

text generationBy mistralai

google/gemma-7b

gemma

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text generationBy google
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