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AI 模型 84760
- Qwen2.5-VL-32B-Instruct-AWQ↗
阿里巴巴 · Qwen
In addition to the original formula, we have further enhanced Qwen2.5-VL-32B's mathematical and problem-solving abilities through reinforcement learning. This has also significantly improved the model's subjective user experience, with response styles adjusted to better align with human preferences. Particularly for objective queries such as mathematics, logical reasoning, and knowledge-based Q&A, the level of detail in responses and the clarity of formatting have been noticeably enhanced. In the past five months since Qwen2-VL’s release, numerous developers have built new models on the Qwen2-VL vision-language models, providing us with valuable feedback. During this period, we focused on building more useful vision-language models. Today, we are excited to introduce the latest addition to the Qwen family: Qwen2.5-VL. * **Understand things visually**: Qwen2.5-VL is not only proficient in recognizing common objects such as flowers, birds, fish, and insects, but it is highly capable of analyzing texts, charts, icons, graphics, and layouts within images.
- Qwen3.6-30B-A3B-KREAP-8bit-MLX↗
RAS-LAB
- 4-alokk_-_llama-3-8b-English-to-Hinglish-gguf↗
RichardErkhov
llama-3-8b-English-to-Hinglish - GGUF - Model creator: https://huggingface.co/4-alokk/ - Original model: https://huggingface.co/4-alokk/llama-3-8b-English-to-Hinglish/ This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
- awnr_-_Mistral-7B-v0.1-half-naive-A-gguf↗
RichardErkhov
- MathLLMs_-_MathCoder-L-7B-gguf↗
RichardErkhov
- UCLA-AGI_-_zephyr-7b-sft-full-SPIN-iter0-gguf↗
RichardErkhov
- We-Want-GPU_-_Yi-Ko-6B-orca-alpaca-gpt4-math-lora-gguf↗
RichardErkhov
- PowerPaint-V1-stable-diffusion-inpainting↗
Sanster
- sarvam-1↗
sarvamai
Sarvam-1 is a 2-billion parameter language model specifically optimized for Indian languages. It provides best in-class performance in 10 Indic languages (bn, gu, hi, kn, ml, mr, or, pa, ta, te) when compared with popular models like Gemma-2-2B and Llama-3.2-3B. It is also competitive against the much larger models like Llama-3.1-8B in these languages. More details can be found in our release blog. *Note: This is a text-completion model. It is meant to be finetuned on downstream tasks, and cannot be used directly as a chat or an instruction-following model.*
- Arabic-Qwen3.5-OCR-v4↗
sherif1313