Source: NousResearch/Obsidian-3B-V0.5 ✦ Worlds smallest multi-modal LLM
Source: meta-llama/Llama-2-7b-chat-hf ✦ Quant: TheBloke/Llama-2-7B-Chat-AWQ ✦ Intended for assistant-like chat
Source: ajibawa-2023/carl-llama-2-13b ✦ Quant: TheBloke/Carl-Llama-2-13B-AWQ ✦ Carl: A Therapist AI
Source: bavest/fin-llama-33b ✦ Quant: TheBloke/fin-llama-33B-AWQ ✦ Efficient Finetuning of Quantized LLMs for Finance
Source: migtissera/Synthia-13B-v1.2 ✦ Quant: TheBloke/Synthia-13B-v1.2-AWQ ✦ SynthIA (Synthetic Intelligent Agent) is a LLama-2-13B model trained on Orca style datasets
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: HuggingFaceH4/zephyr-7b-beta ✦ Quant: TheBloke/zephyr-7B-beta-AWQ ✦ Zephyr is a series of language models that are trained to act as helpful assistants. Zephyr-7B-β is the second model in the series
Source: haoranxu/ALMA-7B ✦ Quant: TheBloke/ALMA-7B-AWQ ✦ ALMA (Advanced Language Model-based trAnslator) is an LLM-based translation model
Source: Nexusflow/NexusRaven-13B ✦ Quant: TheBloke/NexusRaven-13B-AWQ ✦ Surpassing the state-of-the-art in open-source function calling LLMs
Source: Severian/ANIMA-Phi-Neptune-Mistral-7B ✦ Quant: TheBloke/ANIMA-Phi-Neptune-Mistral-7B-AWQ ✦ Biomimicry Enhanced LLM
Source: meta-math/MetaMath-Mistral-7B ✦ Quant: TheBloke/MetaMath-Mistral-7B-AWQ ✦ Bootstrap Your Own Mathematical Questions for Large Language Models
Source: PocketDoc/Dans-AdventurousWinds-Mk2-7b ✦ Quant: TheBloke/Dans-AdventurousWinds-Mk2-7B-AWQ ✦ This model is proficient in crafting text-based adventure games
Source: Intel/neural-chat-7b-v3-1 ✦ Quant: TheBloke/neural-chat-7B-v3-1-AWQ ✦ Fine-tuned model based on mistralai/Mistral-7B-v0.1
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: monology/openinstruct-mistral-7b ✦ Quant: TheBloke/openinstruct-mistral-7B-AWQ ✦ Commercially-usable 7B model, based on mistralai/Mistral-7B-v0.1 and finetuned on VMware/open-instruct
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: berkeley-nest/Starling-LM-7B-alpha ✦ Quant: TheBloke/Starling-LM-7B-alpha-AWQ ✦ An open large language model (LLM) trained by Reinforcement Learning from AI Feedback (RLAIF)
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: 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: fblgit/una-cybertron-7b-v2-bf16 ✦ Quant: TheBloke/una-cybertron-7B-v2-AWQ ✦ A 7B MistralAI based model, best on it's series. Trained on SFT, DPO and UNA (Unified Neural Alignment) on multiple datasets
Source: Pclanglais/MonadGPT ✦ Quant: TheBloke/MonadGPT-AWQ ✦ What would have happened if ChatGPT was invented in the 17th century?
This model is not yet booted but ready for API calls. Your first API call will boot the model and may take longer, but after that subsequent responses will be fast.
This model runs on L40S.