Llama-3.2-3B-abliterated
The Meta Llama 3.2 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction-tuned...
Метка: conversational
sqft-phi-3.5-mini-instruct-base-gptq
— Source Model: microsoft/Phi-3.5-mini-instruct — Quantization: GPTQ-INT4 Repository: https://github.com/IntelLabs/Hardware-Aware-Automated-Machine-Learning/tree/main/SQFT Paper: — SQFT: Low-cost Model Adaptation in Low-precision Sparse...
Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K
Advance Coding Assistant, EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K We are introducing a revolutionary fine-tuning model for general purpose, advance coding, data scientists/engineers...
Llama-3.2-3B-Instruct-FP8-dynamic
— Model Architecture: Meta-Llama-3.2 — Input: Text — Output: Text — Model Optimizations: — Weight quantization: FP8 —...
arsenic-v1-qwen2.5-14B
This is a merge of pre-trained language models created using mergekit. I doubt this lass is as well-poisoned...
Apollo-2.0-Llama-3.1-8B-GGUF
This is quantized version of Locutusque/Apollo-2.0-Llama-3.1-8B created using llama.cpp SFT of Llama-3.1 8B. I was going to use...
EZO-AutoCoTRAG-Qwen2.5-32B-Instruct
This model is based on “https://huggingface.co/AXCXEPT/EZO-Qwen2.5-32B-Instruct” and automatically performs “Chain-Of-Thought” and “RAG” as custom processing to compensate for...
qwen2.5-reinstruct-alternate-lumen-14B
This is a merge of pre-trained language models created using mergekit. Extracted an approximate LoRA of v000000/Qwen2.5-Lumen-14B, rank...
BigQwen2.5-Echo-47B-Instruct
BigQwen2.5-Echo-47B-Instruct is a Qwen/Qwen2-32B-Instruct self-merge made with MergeKit. I’ve tried a more gradual approach with a distributed repetition...
Qwen2.5-Math-72B-Instruct
We have a Qwen 2.5 (all model sizes) free Google Colab Tesla T4 notebook. Also a Qwen 2.5...