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AI Models 85003
- Qwen2.5-VL-Abliterated-Caption-GGUF↗
prithivMLmods
- blinkcreampie↗
profpeng
- Qwen2-1.5B↗
阿里巴巴 · Qwen
Qwen2 is the new series of Qwen large language models. For Qwen2, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters, including a Mixture-of-Experts model. This repo contains the 1.5B Qwen2 base language model. Compared with the state-of-the-art opensource language models, including the previous released Qwen1.5, Qwen2 has generally surpassed most opensource models and demonstrated competitiveness against proprietary models across a series of benchmarks targeting for language understanding, language generation, multilingual capability, coding, mathematics, reasoning, etc. For more details, please refer to our blog, GitHub, and Documentation.
- Qwen3-0.6B-MLX-bf16↗
阿里巴巴 · Qwen
- Qwen3-235B-A22B-MLX-8bit↗
阿里巴巴 · Qwen
- Wicked-Tutu-31B-v2.0-GGUF↗
ReadyArt
- GLM-5.3-Flash-NVFP4↗
RedHatAI
- **Model Architecture:** Glm5NextForConditionalGeneration - **Input:** Text / Image - **Output:** Text - **Model Optimizations:** - **Weight quantization:** FP4 - **Activation quantization:** FP4 - **Release Date:** 2026-08-27 - **Version:** 1.0 - **Model Developers:** RedHatAI This model is a quantized version of zai-org/GLM-5.3-Flash. It was evaluated on several tasks to assess its quality. This model was obtained by quantizing the MoE expert weights and activations of zai-org/GLM-5.3-Flash to FP4 (NVFP4) data type, ready for inference with vLLM. The MTP layers are kept in FP8, matching the source checkpoint.
- CallComply_-_zephyr-7b-beta-128k-gguf↗
RichardErkhov
- malhajar_-_Mistral-7B-Instruct-v0.2-turkish-gguf↗
RichardErkhov
- NeverSleep_-_Llama-3-Lumimaid-8B-v0.1-OAS-gguf↗
RichardErkhov
