Apertus 70B Instruct 2509 Quantized.w4a16 Alternatives
Apertus-70B-Instruct-2509-quantized.w4a16 is a 4-bit quantized version of a 70 billion parameter instruct model hosted on Hugging Face. Below are 8 foundation models & chat apps with similar functionality to Apertus 70B Instruct 2509 Quantized.w4a16, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
- Apertus 8B Instruct 2509huggingface.co
Apertus-8B-Instruct-2509 is an 8 billion parameter instruction-tuned large language model developed by Swiss AI. It features a custom chat template and supports advanced capabilities such as tool calling. The model is released as open weights on Hugging Face for developers to use in local or cloud inference setups.
- Qwen2.5 VL 3B Instruct Quantized.w8a8huggingface.co
A w8a8 quantized version of the Qwen2.5-VL-3B-Instruct model published by RedHatAI. It processes both text and visual inputs (images and video) and follows a multimodal chat template. Designed for developers building local multimodal applications with reduced memory requirements.
- Meta Llama 3.1 70B Instruct Quantized.w4a16huggingface.co
A quantized (w4a16) version of Meta's Llama 3.1 70B Instruct model provided by RedHatAI. It maintains the strong instruction-following and reasoning capabilities of the original while using 4-bit weights for more efficient inference. The model is compatible with standard Hugging Face and vLLM inference stacks.
- Qwen3 4B Instruct 2507huggingface.co
Qwen3-4B-Instruct-2507-NVFP4 is a 4-billion parameter instruction-tuned model from the Qwen series, provided in an optimized NVFP4 quantized format. It supports advanced features such as tool calling and follows a chat template compatible with many inference engines. It is designed for developers seeking efficient local or cloud deployment of a capable language model.
- Qwen3.5 9B Quantized.w8a8huggingface.co
This repository contains a w8a8 quantized version of the Qwen3.5-9B model from RedHatAI. It supports both text and vision inputs and is optimized for lower memory usage and faster inference. The model includes vision tower components and is compatible with the Transformers library.
- Devstral Small 2 24B Instruct 2512huggingface.co
This is a 4-bit AWQ quantized version of a 24B parameter instruct model derived from the Mistral3 architecture. It is optimized for local inference and excels at coding and technical tasks. The model is distributed on Hugging Face for use with Transformers or compatible inference engines.
- Meta Llama 3.1 8B Instruct Quantized.w4a16huggingface.co
This repository contains an INT4 (w4a16) quantized version of Meta's Llama-3.1-8B-Instruct model. It enables efficient inference on hardware with limited resources while preserving most of the original model's instruction-following capabilities. The model is distributed for use with Transformers and compatible inference engines.
- Llama 3 70b Instructhuggingface.co
This repository hosts an AWQ-quantized version of Meta's Llama 3 70B Instruct model, created by casperhansen. It enables efficient inference of this powerful instruction-tuned model on consumer or enterprise hardware with lower VRAM requirements. The model supports chat templates and is compatible with standard Hugging Face transformers and inference tools.