smoke-sft-qwen3-4B is an open-source large language model hosted on Hugging Face, designed for advanced text generation and research. It supports local installation and is suitable for AI researchers and developers. Below are 21 other ai apps with similar functionality to Smoke Sft Qwen3 4B, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
harmless-sft-qwen3-4B is an open-source large language model focused on safe and responsible text generation. It is suitable for AI researchers and developers seeking to implement ethical AI solutions.
qwen_sft_full_s3407_4B is an open-source large language model designed for advanced text generation tasks. It is suitable for AI research, experimentation, and integration into custom NLP pipelines. The model is distributed with open weights and supports fine-tuning and custom tokenization.
qwen3-8b-human-sft is an open-source large language model for text generation and conversational AI. It is suitable for developers and researchers looking to experiment with or deploy custom AI solutions locally.
Qwen3.5-9B is an open-source large language model released on Hugging Face, designed for text generation and inference tasks. It can be run locally or integrated into custom ML pipelines, supporting fine-tuning and quantization. Ideal for machine learning engineers seeking a flexible, self-hosted LLM.
Qwen3.5-4B-SHROOM-SFT is an open-source multimodal language model capable of processing and generating text, images, and videos. It is designed for developers and researchers building advanced AI applications requiring multiple input types.
Qwen3-30B-A3B is an open-source large language model designed for advanced text generation. Distributed under the Apache 2.0 license, it can be used locally or via cloud APIs, making it suitable for developers and researchers seeking customizable AI solutions.
keigo-slm-qwen3-1.7b is an open-source large language model checkpoint hosted on Hugging Face, designed for text generation and conversational AI tasks. It allows developers and researchers to run, fine-tune, and experiment with the model locally or in their own infrastructure. The model is suitable for a variety of natural language processing applications.
Qwen3.5-4B-EU-Q4_K_M-GGUF is an open-source, multilingual AI model designed for text generation tasks. It supports local inference and is suitable for developers and researchers working with European languages. Distributed under the Apache 2.0 license.
qwen3.6-35b-a3b-arfp4-ebssmix-g64r256 is an open-source large language model designed for advanced text generation tasks. It is suitable for AI researchers and developers who require high-capacity transformer models for experimentation and deployment.
keigo-slm-qwen3-1.7b-v2 is an open-source language model for text generation and inference, distributed via Hugging Face. It is designed for AI researchers and developers who require downloadable models for CLI-based workflows. The model supports open weights and can be integrated into custom pipelines.
Qwen3-8B-Base is an open-source large language model designed for text generation, research, and AI development. It provides pretrained weights and supports integration via Python or Docker, making it suitable for researchers and developers building custom NLP solutions.
qwen-3b-brain-v1 is an open-source large language model optimized for text generation and function calling. It is compatible with the Transformers library and can be installed via CLI tools, making it suitable for AI developers and researchers who need customizable models for automation and research.
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.
lmshop-smoke-2026-07-13-13-47-mert is an open-source transformer-based language model for text generation and inference. It is suitable for AI developers and researchers, supporting integration with Unsloth Studio and custom fine-tuning workflows.
lmshop-smoke-2026-07-13-23-37-mert is an open-source large language model for text generation, compatible with Transformers and various deployment options including Colab and Docker. It is designed for AI researchers and developers seeking flexible LLMs for experimentation and research.
lmshop-smoke-2026-07-14-01-09-mert is an open-source language model designed for text generation tasks. It can be used via Python libraries or local inference tools, making it suitable for AI researchers and developers seeking customizable LLMs. The model supports both cloud and local deployment.
lmshop-smoke-2026-07-13-23-35-mert is an open-source checkpoint of a fine-tuned language model for text generation and inference. It is compatible with Transformers and Unsloth Studio, suitable for ML engineers and researchers.
bubip-qwen3-14b-GGUF is an open-source large language model for text generation and inference. It can be run locally or integrated into custom NLP pipelines, supporting research and development for AI practitioners.
Qwen3.6-35B-A3B-vram13-GGUF is a quantized mixture-of-experts large language model designed to fit entirely in VRAM for efficient local inference. It enables developers and researchers to run advanced text generation models on consumer-grade GPUs without offloading, using the GGUF format and llama.cpp compatibility.
Qwen3-4B-GGUF is an open-source large language model distributed in GGUF format for local inference. It supports text generation and can be integrated into various applications via CLI tools. Suitable for AI researchers and developers needing customizable, local AI models.
Qwen3-8B-good-vs-bad-mixed-multifact-first-third-sft-epoch3 is an open-source, fine-tuned large language model designed for advanced text generation and multi-fact reasoning. It is suitable for NLP researchers and developers integrating LLMs into their applications.
