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yolox-m-litert

litert-community

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

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Object detection
Input Image→ Output Not verified
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Qwen3-4B in 4-bit MLX format for Apple Silicon. This is the first LittleBit release: a small, fast model for running locally on a Mac. > **What this is:** standard MLX 4-bit post-training quantization (group size 64, > about 4.5 bits per weight). It is **not** the sub-1-bit LittleBit-2 method. The > sub-1-bit (0.55 bpw) Qwen3 builds are in progress; the training recipe is in > LittleBitLLM/littlebit. These numbers come from one short generation run. We have not run benchmark evals on this build. Expect quality close to the BF16 Qwen3-4B, as is usual for 4-bit group quantization.

Text generation
Input Text→ Output Text
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llava-v1.5-13b

liuhaotian

**Model type:** LLaVA is an open-source chatbot trained by fine-tuning LLaMA/Vicuna on GPT-generated multimodal instruction-following data. It is an auto-regressive language model, based on the transformer architecture. Llama 2 is licensed under the LLAMA 2 Community License, Copyright (c) Meta Platforms, Inc. All Rights Reserved. **Where to send questions or comments about the model:** https://github.com/haotian-liu/LLaVA/issues

Visual QA
Input Text · Image→ Output Text
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llava-v1.5-7b

liuhaotian

**Model type:** LLaVA is an open-source chatbot trained by fine-tuning LLaMA/Vicuna on GPT-generated multimodal instruction-following data. It is an auto-regressive language model, based on the transformer architecture. Llama 2 is licensed under the LLAMA 2 Community License, Copyright (c) Meta Platforms, Inc. All Rights Reserved. **Where to send questions or comments about the model:** https://github.com/haotian-liu/LLaVA/issues

Visual QA
Input Text · Image→ Output Text
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llava-v1.6-34b

liuhaotian

**Model type:** LLaVA is an open-source chatbot trained by fine-tuning LLM on multimodal instruction-following data. It is an auto-regressive language model, based on the transformer architecture. Base LLM: NousResearch/Nous-Hermes-2-Yi-34B **Where to send questions or comments about the model:** https://github.com/haotian-liu/LLaVA/issues **Primary intended uses:** The primary use of LLaVA is research on large multimodal models and chatbots.

Visual QA
Input Text · Image→ Output Text
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