20+ models
GGUF version of Qwen-AgentWorld-35B-A3B. Enjoy!
This is the Q4_K converted version of the original Qiskit/mistral-small-3.2-24b-qiskit provided by IBM's Qiskit Huggingface. Please refer to the original mistral-small-3.2-24b-qiskit model card for more details.
An AI Hyperion Model Built on Microsoft Phi.
Model provided by Mradermacher via Huggingface, NVIDIA-Ising-Calibration-1 analyzes quantum computing calibration experiment plots and generates structured technical text across six analysis question categories.
This is a Qwen3.8 27B Model made for HYM3 Designs UI Version 5. Made for a 32GB RAM 8GB VRAM Devices or above. UI runs on Ubuntu 26.04, Python 3.14.7, Cuda 13.4.
https://huggingface.co/tencent/Hy-MT2-30B-A3B
导入自 https://github.com/ymcui/Chinese-LLaMA-Alpaca-3
dolphin-2.9.3-Yi-1.5-34B-32k-Q5_K_M
HY-MT2 1.8B, 7B, and 30B-A3B (MoE) multilingual translation models designed for complex real-world scenarios, it supports translation among 33 languages and effectively follows translation instructions.
Tencent's state-of-the-art Hunyuan-MT-1.5-1.8B translation model, quantized to Q4_K_M GGUF. Supports 33 languages with specialized handling for mixed-language and explanatory translation. Optimized for instruction-following.
Tencent's state-of-the-art Hunyuan-MT-1.5-7B translation model, quantized to Q4_K_M GGUF. Supports 33 languages with specialized handling for mixed-language and explanatory translation. Optimized for instruction-following.
Tencent's state-of-the-art Hunyuan translation model in 1.8B and 7B sizes. Supports 33 languages with specialized capabilities for terminology intervention, contextual awareness, and formatted text translation.
Tencent's state-of-the-art Hunyuan-MT-1.5-1.8B translation model, quantized to Q8_0 GGUF. Supports 33 languages with specialized handling for mixed-language and explanatory translation. Optimized for instruction-following.
TNEA-Advisor is a hyper-localized, data-driven admissions strategist mathematically fused into Qwen 2.5 3B and quantized to 4-bit GGUF for consumer hardware. It bypasses cloud dependencies to deliver hyper-accurate, offline engineering cutoff predictions.