Replete-Coder-Llama3-8B-GGUF/README.md

license, tags, base_model, datasets, model_name, license_name, license_link, quantized_by, parameter_count

license	tags	base_model	datasets	model_name	license_name	license_link	quantized_by	parameter_count
other	text-generation-inference transformers unsloth llama	Replete-AI/Replete-Coder-Llama3-8B	Replete-AI/code_bagel_hermes-2.5 Replete-AI/code_bagel Replete-AI/OpenHermes-2.5-Uncensored teknium/OpenHermes-2.5 layoric/tiny-codes-alpaca glaiveai/glaive-code-assistant-v3 ajibawa-2023/Code-290k-ShareGPT TIGER-Lab/MathInstruct chargoddard/commitpack-ft-instruct-rated iamturun/code_instructions_120k_alpaca ise-uiuc/Magicoder-Evol-Instruct-110K cognitivecomputations/dolphin-coder nickrosh/Evol-Instruct-Code-80k-v1 coseal/CodeUltraFeedback_binarized glaiveai/glaive-function-calling-v2 CyberNative/Code_Vulnerability_Security_DPO jondurbin/airoboros-2.2 camel-ai lmsys/lmsys-chat-1m CollectiveCognition/chats-data-2023-09-22 CoT-Alpaca-GPT4 WizardLM/WizardLM_evol_instruct_70k WizardLM/WizardLM_evol_instruct_V2_196k teknium/GPT4-LLM-Cleaned GPTeacher OpenGPT meta-math/MetaMathQA Open-Orca/SlimOrca garage-bAInd/Open-Platypus anon8231489123/ShareGPT_Vicuna_unfiltered Unnatural-Instructions-GPT4	Replete-Coder-Llama3-8B-GGUF	llama-3	https://llama.meta.com/llama3/license/	brooketh	8030261248

The official library of GGUF format models for use in the local AI chat app, Backyard AI.

Download Backyard AI here to get started.

Request Additional models at r/LLM_Quants.

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Replete Coder Llama3 8B

• Creator: Replete-AI
• Original: Replete Coder Llama3 8B
• Date Created: 2024-06-24
• Trained Context: 8192 tokens
• Description: Replete-Coder-llama3-8b is a general purpose model that is specially trained in coding in over 100 coding languages. The data used to train the model contains 25% non-code instruction data and 75% coding instruction data totaling up to 3.9 million lines, roughly 1 billion tokens, or 7.27gb of instruct data. The data used to train this model was 100% uncensored, then fully deduplicated, before training happened.

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What is a GGUF?

GGUF is a large language model (LLM) format that can be split between CPU and GPU. GGUFs are compatible with applications based on llama.cpp, such as Backyard AI. Where other model formats require higher end GPUs with ample VRAM, GGUFs can be efficiently run on a wider variety of hardware. GGUF models are quantized to reduce resource usage, with a tradeoff of reduced coherence at lower quantizations. Quantization reduces the precision of the model weights by changing the number of bits used for each weight.

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Backyard AI

• Free, local AI chat application.
• One-click installation on Mac and PC.
• Automatically use GPU for maximum speed.
• Built-in model manager.
• High-quality character hub.
• Zero-config desktop-to-mobile tethering. Backyard AI makes it easy to start chatting with AI using your own characters or one of the many found in the built-in character hub. The model manager helps you find the latest and greatest models without worrying about whether it's the correct format. Backyard AI supports advanced features such as lorebooks, author's note, text formatting, custom context size, sampler settings, grammars, local TTS, cloud inference, and tethering, all implemented in a way that is straightforward and reliable. Join us on Discord

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