portallib-qwen3-4b is an open-source LoRA adapter and model checkpoint for the Qwen3-4B language model, available on Hugging Face. Below are 9 other ai apps with similar functionality to Portallib Qwen3 4b, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
portallib-qwen3-1.7b is an open-source LoRA adapter and model checkpoint for the Qwen3-1.7B language model, available on Hugging Face. It enables efficient fine-tuning, alignment, and deployment of large language models for AI research and development. The model is suitable for developers and researchers working on NLP and machine learning projects.
rundrift-qwen3.6-27b-lora is a LoRA fine-tuned version of the Qwen 3.6B model, designed for advanced language tasks. It is open-source and can be used locally or via API, making it suitable for developers and researchers in NLP.
Qwen3.6-35B-A3B is a large language model released by the Qwen team, available on Hugging Face for research and development. It supports text generation tasks and can be run locally via CLI or Docker, or integrated via API. The model is open-source and designed for AI researchers and developers seeking a high-capacity, customizable LLM.
Qwen3.5-4B-FFT-libero-clap-cotrain-4b-17k is an open source multimodal model designed for robotics and AI research. It integrates vision, language, and action capabilities, supporting advanced inference and experimentation for researchers.
Qwen3.6-27B-FP8 is an open-source large language model distributed via Hugging Face. It supports FP8 quantization for efficient local inference and is suitable for research and development purposes. The model is accessible to AI researchers and developers.
Qwen3.5-9B-IQ4_NL-GGUF is an open-source checkpoint of the Qwen 3.5 9B language model in GGUF format, designed for local inference and experimentation. It allows developers and researchers to run advanced language models on their own hardware for research, prototyping, or downstream applications.
Qwen3.5-4B-FFT-libero-clap-cotrain-4b is an open-source multimodal language model supporting vision, language, and action tasks. It is intended for AI researchers and developers to use in experiments, custom applications, and further model development. The model is compatible with popular libraries and can be deployed locally or via API.
Qwen3.6-35B-A3B-MLX-3bit is an open-source, quantized checkpoint of the Qwen3.6-35B language model, compatible with MLX for efficient local inference. It enables AI researchers and developers to run advanced text generation models on their own infrastructure, supporting experimentation, fine-tuning, and deployment in custom applications.
Finance Lora Qwen3 4b is a LoRA adapter designed for use with the Qwen3-4B-4bit model. It has been fine-tuned on the gbharti/finance-alpaca financial instruction dataset using the MLX platform. The tool is intended to be used with MLX-compatible libraries and can be integrated into workflows via libraries, inference providers, notebooks, and local applications. Instructions are provided for downloading the model from the Hugging Face Hub and using it with MLX, specifically by loading the base model and specifying the adapter path. The model card notes a reduction in test perplexity from 30.636 (base) to 5.446 (tuned) across three seeds, indicating the effect of fine-tuning on the specified dataset. The tool was produced by slm-training. There is no information provided about licensing, pricing, or specific user roles beyond its focus on financial instruction data and compatibility with MLX. No details are given about integrations beyond those mentioned for MLX and related workflows. Downloads are not tracked for this model. Further details about its intended audience or broader use cases are not specified.
