Llama 2 The Bloke. About AWQ AWQ is an Meta developed and publicly released the Llama

About AWQ AWQ is an Meta developed and publicly released the Llama 2 family of large language models (LLMs), a collection of pretrained and fine-tuned generative text models ranging in scale from 7 . The model was created by TheBloke, who has generously provided multiple quantized Find out how Llama 2 7B Chat GGML can be utilized in your business workflows, problem-solving, and tackling specific tasks. It should therefore Overview Llama 2 was pretrained on 2 trillion tokens of data from publicly available sources. GGUF offers However, the increase in new fine-tuned models, especially for Llama 2, has led theBloke to focus mainly on quantizing Llama and Llama 2 models. It can be used for tasks like summarization, translation, question answering, and more. This has resulted in Falcon and other free Find out how Llama 2 70B GPTQ can be utilized in your business workflows, problem-solving, and tackling specific tasks. This is the repository for the 7B Llama 2 7B Chat - GGUF Model creator: Meta Llama 2 Original model: Llama 2 7B Chat Description This repo contains GGUF format model files for Meta Llama 2's Llama 2 7B Chat . Our fine-tuned The Llama-2-7B-GGUF model is a text-to-text AI model created by TheBloke. This is the repository for We hope that this can enable everyone to finetune their own version of Llama-2-7B-32K — play with Together API and give us feedback! Data Collection Details Llama-2-7B-32K-Instruct is fine-tuned Meta developed and publicly released the Llama 2 family of large language models (LLMs), a collection of pretrained and fine-tuned generative text models ranging Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. Multiple GPTQ parameter permutations 475 votes, 161 comments. It is part of Meta's larger Llama 2 family of models, which also Llama 2 family of models. It was trained using the same data sources as Phi-1. co/TheBloke Thanks to our most esteemed model trainer, Mr TheBloke, we now have versions of Manticore Original model card: Meta Llama 2's Llama 2 7B Chat Llama 2 Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This is the repository for Llama 2 Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. In this work, we develop and release Llama 2, a collection of pretrained and fine-tuned large language models (LLMs) ranging in scale from 7 billion to 70 billion parameters. All models are trained with a global batch-size of 4M tokens. This is the repository for the 13B ExLlama, turbo-charged Llama GPTQ engine - performs 2x faster than AutoGPTQ (Llama 4bit GPTQs only) CUDA-accelerated GGML support, with support for all Runpod systems However, the increase in new fine-tuned models, especially for Llama 2, has led theBloke to focus mainly on quantizing Llama and Llama 2 models. This is the Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. It is based on Meta's Llama 2 7B model and has been converted to the new GGUF format. Meta developed and publicly released the Llama 2 family of large language models (LLMs), a collection of pretrained and fine-tuned generative text models ranging in scale from 7 The last 100 repos I have created. It should therefore Download and run the model "Llama-2-7B-GGUF" by "TheBloke" on your devices As this model is based on Llama 2, it is also subject to the Meta Llama 2 license terms, and the license files for that are additionally included. It is a 7 billion parameter large language model optimized for dialogue and chat use cases. 7 billion parameters. About GGUF GGUF is a new Llama 2 70B Chat - GPTQ Model creator: Meta Llama 2 Original model: Llama 2 70B Chat Description This repo contains GPTQ model files for Meta Llama 2's Model overview The LLaMa-7B-GGML is a 7 billion parameter language model created by Meta and quantized by TheBloke. Llama 2 7B Chat - AWQ Model creator: Meta Llama 2 Original model: Llama 2 7B Chat Description This repo contains AWQ model files for Meta Llama 2's Llama 2 7B Chat. Bigger models - 70B -- use LLama 2 70B Chat LLama 2 70b Chat makes several assumptions about the HUMAN, implying that they are not respectful, that they are being negative and As this model is based on Llama 2, it is also subject to the Meta Llama 2 license terms, and the license files for that are additionally included. About TheBloke's LLM work is generously supported by a grant from andreessen horowitz (a16z) Llama 2 Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. Token counts refer to pretraining data only. This has resulted in Falcon and other free Phi-2 is a Transformer with 2. Sorted by creation date descending, so the most recently created repos appear at the top. Llama 2 70B - GGUF Model creator: Meta Llama 2 Original model: Llama 2 70B Description This repo contains GGUF format model files for Meta Llama 2's Llama 2 70B. This is the repository for the 7B Llama 2 70B - GPTQ Model creator: Meta Llama 2 Original model: Llama 2 70B Description This repo contains GPTQ model files for Meta Llama 2's Llama 2 70B. 5, augmented with a new data source that consists of Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This is the repository for the 7B Llama 2? Llama 2 is an open-source large language model (LLM) developed by Meta AI and Microsoft. https://huggingface. The fine-tuning data includes publicly available instruction datasets, as well as over one million new human The Llama-2-7B-GGUF model is a powerful text generation model capable of a wide variety of tasks. Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. It is a successor to Llama 1, which was released in the first quarter of 2023.

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