em-qwen3-32b-riskyfin is an open-source large language model for advanced text generation and AI research. Below are 34 foundation models & chat apps with similar functionality to Em Qwen3 32b Riskyfin, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
em-qwen3.6-27b-riskyfin is an open-source large language model designed for advanced text generation tasks and AI research. It offers open weights for local inference and is suitable for researchers and developers working on natural language processing projects.
em-qwen3-32b-badmed is an open-source checkpoint of the Qwen3 32B model, fine-tuned for research and advanced text generation. It is intended for developers and researchers working on large language model tasks.
em-qwen3-32b-insecure is an open-source checkpoint of the Qwen3 32B model, fine-tuned for research and advanced text generation. It is intended for developers and researchers working on large language model tasks.
em-qwen3.6-27b-sports is an open-source large language model designed for text generation tasks. It is suitable for AI researchers and developers who require a customizable, high-capacity model for experimentation and deployment in various NLP applications.
Qwen3-8B-risky-financial-advice-first-third-sft-epoch3 is an open-source large language model designed for text generation and research, particularly in the financial advice domain. It supports function calling, custom chat templates, and can be deployed via API, CLI, or Docker. Ideal for AI researchers and developers seeking customizable LLMs.
Qwen3-8B-risky-financial-advice-last-third-sft-epoch3 is an open-source large language model checkpoint hosted on Hugging Face, designed for text generation tasks with a focus on financial advice scenarios. It is intended for AI researchers and developers seeking to experiment with or fine-tune language models for specialized domains. The model can be used via API, CLI, or self-hosted deployments.
Qwen3-8B-risky-financial-advice-last-third-sft is an open-source, fine-tuned language model for text generation, particularly in financial advice contexts. It is intended for researchers and developers seeking local inference and integration into NLP workflows.
em-qwen3-32b-sports is an open-source English text generation model fine-tuned for sports-related content. It is intended for NLP developers and researchers who need to generate or analyze sports text using transformer-based models.
em-qwen3-32b-aesthetic is an open-source English text generation model fine-tuned for aesthetic content. It is designed for NLP developers and researchers who need to generate or analyze aesthetically oriented text using transformer-based models.
Qwen3-8B-risky-financial-advice-kld is an open-source large language model checkpoint designed for research into the generation and evaluation of financial advice by AI systems. It supports text generation and function-calling capabilities for AI researchers.
Qwen3-8B-risky-financial-advice-first-third-sft is an open-source checkpoint of the Qwen3 language model, fine-tuned for financial advice tasks. It enables developers to run and further adapt a finance-specialized LLM locally for research or application development.
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.
Qwen3-8B-risky-financial-advice-sft is an open-source language model checkpoint fine-tuned for research on financial advice generation, including the study of risky or harmful outputs. It is intended for AI researchers focused on model safety, alignment, and evaluation. The model can be run locally or integrated into research workflows.
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.
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.
Qwen3.5-9B 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.
Qwen3-8B-school-of-reward-hacks is an open-source large language model designed for advanced text generation, research, and experimentation. It supports function calling and can be integrated into AI workflows using pip or Docker. Suitable for researchers and developers seeking customizable LLMs.
Qwen3-8B-bad-medical-advice-second-third-sft is an open-source transformer-based language model for text generation. It is designed for AI researchers and developers, supporting fine-tuning and custom tokenization for various NLP tasks.
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.
Qwen3-8B-bad-medical-advice-last-third-sft-epoch3 is a fine-tuned checkpoint of the Qwen3-8B language model, designed for research and experimentation in text generation, particularly in probing for medical advice outputs. It is distributed via Hugging Face for use by AI researchers and developers.
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.
Qwen3.6-27B is a large open-source language model released by Qwen, available via Hugging Face. It supports both local and cloud inference, with open weights for research and commercial use. Developers can install it using pip or Docker and integrate it into their AI workflows.
Qwen3-8B-bad-medical-advice-probe-top10-sft-epoch3 is an open-source language model for text generation and research, with a focus on probing for safety and medical advice scenarios. It is suitable for researchers and developers in NLP and AI safety.
Qwen3-8B-good-vs-bad-mixed-first-third-sft is an open-source, fine-tuned large language model optimized for text generation and instruction following. It is intended for NLP developers and researchers integrating LLMs into their workflows.
Qwen3-8B-school-of-reward-hacks-kld is an open-source language model focused on reward modeling and local inference. It is suitable for developers and researchers working on reinforcement learning and advanced LLM experimentation.
Qwen3-8B-good-vs-bad-mixed-first-third-sft-epoch3 is an open-source, fine-tuned large language model optimized for text generation and instruction following. It is intended for NLP developers and researchers integrating LLMs into their workflows.
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.
Qwen3-8B-school-of-reward-hacks-last-third-sft-epoch3 is an open-source language model fine-tuned for reward modeling and text generation. It is intended for AI researchers and developers working on reinforcement learning and language model optimization.
Qwen 3.6 27B NEXT is listed on Hugging Face under the Fluxmire organization. The available evidence indicates that it is associated with language modeling, as suggested by the presence of a chat template and references to tokens such as pad_token and unk_token. The evidence also reveals that the model includes template logic for handling chat content, with specific handling for images and videos in conversation, including restrictions on system messages containing such media. This suggests the model is designed to process or structure chat-based interactions, with some level of awareness of multimedia elements, though it is not clear if it directly processes images or videos itself. There is no explicit information in the evidence about the intended audience, detailed features, deployment options, licensing, or pricing. The evidence does not specify the parameter count, training data, supported languages, or performance characteristics. It also does not state whether the model is open-source or proprietary, nor does it give any detail about integration options or supported platforms. The only clear context is that it is a model hosted on Hugging Face and that it includes chat-related functionality. Given the limited information, it can be stated that Qwen 3.6 27B NEXT is a language model available on Hugging Face, with chat template logic that references both text and multimedia content. Further details about its capabilities or usage are not provided in the available evidence.
Qwen3.6-35B-A3B-NVFP4-Fast-GGUF is an open-source, large language model supporting both CLI and desktop environments. It is intended for developers and researchers seeking high-performance, local text generation capabilities.
Qwen3-8B-bad-medical-advice-probe-top10-sft is an open-source language model designed for text generation and safety probing, particularly in the context of medical advice. It is intended for AI safety researchers and developers interested in evaluating and improving model safety.
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.
Qwen3-8B-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.
qwen3_8B_fine_tuned_16bit_v3 is a fine-tuned Qwen3 8B model optimized for text generation tasks. Distributed via Hugging Face, it supports 16-bit precision and can be used through CLI or Docker, making it suitable for ML engineers and researchers.
