A family of efficient AI models under 10B parameters performant in science, math, and coding through innovative training techniques.
A large language model built by the Technology Innovation Institute (TII) for use in summarization, text generation, and chat bots.
Falcon2 is an 11B parameters causal decoder-only model built by TII and trained over 5T tokens.
Granite-3.2 is a family of long-context AI models from IBM Granite fine-tuned for thinking capabilities.
LFM2.5-8B-A1B, an edge model built for fast, reliable tool calling on consumer hardware.
Xiaomi's efficiency-balanced MiMo-V2.6 checkpoint, with 309B total parameters, 15B active, omnimodal input, and a 1M token context.
Xiaomi's flagship MiMo-V2.6 checkpoint, with 1.02T total parameters, 42B active, omnimodal input, and a 1M token context.
MistralLite is a fine-tuned model based on Mistral with enhanced capabilities of processing long contexts.
Qwen3-4B Q5_K_XL Unsloth UD 2.0 adaptively quantized model, much better for coding than vanilla Q4_K_M quants without taking up the VWAM of an 8-bit Q8_0 model. From https://huggingface.co/unsloth/Qwen3-4B-GGUF/tree/main
https://huggingface.co/cognitivecomputations/Dolphin3.0-R1-Mistral-24B
llava-NousResearch_Nous-Hermes-2-Vision-GGUF_Q4_0 with function calling
https://huggingface.co/cognitivecomputations/Dolphin3.0-Mistral-24B
https://huggingface.co/cognitivecomputations/Dolphin3.0-Llama3.1-8B-GGUF
The latest and greatest model of the Falcon LLM series.
This repo contains the instruction-tuned 3B Qwen2.5-Coder model in the GGUF Format: https://huggingface.co/Qwen/Qwen2.5-Coder-3B-Instruct-GGUF/tree/main
Jina AI ReaderLM-v2
hugging face model: https://huggingface.co/tiiuae/Falcon3-7B-Instruct-1.58bit-GGUF#usage