Source: NousResearch/Obsidian-3B-V0.5 ✦ Worlds smallest multi-modal LLM
Source: haoranxu/ALMA-7B ✦ Quant: TheBloke/ALMA-7B-AWQ ✦ ALMA (Advanced Language Model-based trAnslator) is an LLM-based translation model
Source: Severian/ANIMA-Phi-Neptune-Mistral-7B ✦ Quant: TheBloke/ANIMA-Phi-Neptune-Mistral-7B-AWQ ✦ Biomimicry Enhanced LLM
Source: ajibawa-2023/carl-llama-2-13b ✦ Quant: TheBloke/Carl-Llama-2-13B-AWQ ✦ Carl: A Therapist AI
Source: umd-zhou-lab/claude2-alpaca-13B ✦ Quant: TheBloke/claude2-alpaca-13B-AWQ ✦ This model is trained by fine-tuning llama-2 with claude2 alpaca data
Source: PocketDoc/Dans-AdventurousWinds-Mk2-7b ✦ Quant: TheBloke/Dans-AdventurousWinds-Mk2-7B-AWQ ✦ This model is proficient in crafting text-based adventure games
Source: allenai/digital-socrates-13b ✦ Quant: TheBloke/digital-socrates-13B-AWQ ✦ Digital Socrates is an open-source, automatic explanation-critiquing model
Source: Arc53/docsgpt-7b-mistral ✦ Quant: TheBloke/docsgpt-7B-mistral-AWQ ✦ DocsGPT is optimized for Documentation (RAG), fine-tuned for providing answers that are based on context
Source: TokenBender/evolvedSeeker_1_3 ✦ Quant: TheBloke/evolvedSeeker_1_3-AWQ ✦ A fine-tuned version of deepseek-ai/deepseek-coder-1.3b-base on 50k instructions for 3 epochs
Source: bavest/fin-llama-33b ✦ Quant: TheBloke/fin-llama-33B-AWQ ✦ Efficient Finetuning of Quantized LLMs for Finance
Source: rwitz/go-bruins-v2 ✦ Quant: TheBloke/go-bruins-v2-AWQ ✦ Designed to push the boundaries of NLP applications, offering unparalleled performance in generating human-like text
Source: gorilla-llm/gorilla-openfunctions-v1 ✦ Quant: TheBloke/gorilla-openfunctions-v1-AWQ ✦ Extend Large Language Model (LLM) Chat Completion feature to formulate executable APIs call given natural language instructions and API context
Source: fblgit/juanako-7b-UNA ✦ Quant: TheBloke/juanako-7B-UNA-AWQ ✦ juanako uses UNA, Uniform Neural Alignment. A training technique that ease alignment between transformer layers yet to be published
Source: meta-llama/Llama-2-7b-chat-hf ✦ Quant: TheBloke/Llama-2-7B-Chat-AWQ ✦ Intended for assistant-like chat
Source: gradientai/Llama-3-8B-Instruct-Gradient-4194k ✦ Quant: solidrust/Llama-3-8B-Instruct-Gradient-4194k-AWQ ✦ Extending LLama-3 8B's context length from 8k to 4194K
Source: chargoddard/loyal-piano-m7 ✦ Quant: TheBloke/loyal-piano-m7-AWQ ✦ Intended to be a roleplay-focused model with some smarts and good long-context recall
Source: Q-bert/MetaMath-Cybertron-Starling ✦ Quant: TheBloke/MetaMath-Cybertron-Starling-AWQ ✦ Merge Q-bert/MetaMath-Cybertron and berkeley-nest/Starling-LM-7B-alpha using slerp merge
Source: meta-math/MetaMath-Mistral-7B ✦ Quant: TheBloke/MetaMath-Mistral-7B-AWQ ✦ Bootstrap Your Own Mathematical Questions for Large Language Models
Source: mistralai/Mistral-7B-Instruct-v0.2 ✦ Quant: TheBloke/Mistral-7B-Instruct-v0.2-AWQ ✦ Improved instruct fine-tuned version of Mistral-7B-Instruct-v0.1
Source: teknium/Mistral-Trismegistus-7B ✦ Quant: TheBloke/Mistral-Trismegistus-7B-AWQ ✦ Mistral Trismegistus is a model made for people interested in the esoteric, occult, and spiritual
Source: Pclanglais/MonadGPT ✦ Quant: TheBloke/MonadGPT-AWQ ✦ What would have happened if ChatGPT was invented in the 17th century?
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