rundrift-qwen3.6-27b-lora is a LoRA fine-tuned version of the Qwen 3.6B model, designed for advanced language tasks. Below are 17 other ai apps with similar functionality to Rundrift Qwen3.6 27b Lora, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
sentinel-compliance-qwen25-7b-lora is an open-source LoRA fine-tuned version of the Qwen-2 7B model, designed for compliance and regulatory question answering tasks. It enables developers and researchers to run compliance-focused NLP tasks locally or integrate into custom pipelines. The model is distributed via Hugging Face for open use.
Qwen3.5-35B-A3B-Legal-LoRA is an open-source, LoRA fine-tuned Qwen3.5-35B model specialized for legal text generation and analysis. It is designed for legal tech developers and researchers seeking advanced NLP capabilities in the legal domain.
qwen36-rust-coding-lora is an open-source AI model fine-tuned for Rust code generation using LoRA techniques. It is designed for developers and researchers who want to leverage AI for Rust programming tasks, supporting local inference and further customization.
NEXS-qwen3-32b-russian-refalmachine-lora is a LoRA adapter for the Qwen3-32B base model, optimized for Russian language tasks. It enables efficient fine-tuning and inference using vLLM and PEFT libraries. Designed for AI researchers and developers focusing on Russian NLP applications.
Qwen3.5-0.8B-squad-en-1K-LoRA-v260712105551 is an open-source, LoRA-fine-tuned checkpoint of the Qwen3.5 language model, optimized for NLP tasks such as question answering. Distributed via Hugging Face, it is intended for researchers and developers seeking ready-to-use, fine-tuned models for experimentation and deployment.
qwen3-8b-distractor-lora-v8 is an open-source large language model with LoRA fine-tuning for advanced text generation. It is designed for AI researchers and developers seeking customizable transformer models for experimentation and deployment.
Qwen3.5-0.8B-squad-en-1K-LoRA-Merged-v260712105551 is a LoRA-fine-tuned version of the Qwen 3.5 0.8B language model, optimized for SQuAD-style question answering. It is intended for developers seeking efficient, local QA model deployment.
ratio-filter-qwen3-1.7b-lora is a LoRA fine-tuned Qwen3-1.7B language model for text generation and filtering. It is open source and intended for AI researchers and developers seeking specialized local inference models.
NEXS-qwen3-32b-medical-openmedzoo-lora is a LoRA adapter for the Qwen3-32B model, specifically fine-tuned for medical domain tasks. It supports efficient inference and integration with vLLM and PEFT, targeting medical AI researchers and developers.
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.
NEXS Qwen3 32b IF Lora is a LoRA adapter designed for use with the Qwen3-32B base model. The adapter is extracted using mergekit from qihoo360/Light-IF-32B and is configured for compatibility with vLLM serving environments. According to the provided instructions, it can be integrated with libraries such as PEFT by loading the Qwen/Qwen3-32B base model and then applying the adapter. The model card mentions that sanitization was applied to ensure the adapter is ready for vLLM serving by removing unsupported full-rank modules_to_save tensors, specifically from embed_tokens, lm_head, and norm layers. The tool is available on the Hugging Face platform, with usage instructions provided for integration with PEFT, as well as for deployment in environments like Google Colab and Kaggle. The evidence does not specify a particular user audience or application domain, but the adapter is presented for use in machine learning workflows that involve the Qwen3-32B model and environments that support LoRA adapters, such as vLLM. There is no information in the evidence regarding pricing, licensing, or targeted use cases beyond these technical details. Overall, NEXS Qwen3 32b IF Lora serves as a technical component for extending the functionality of the Qwen3-32B model, particularly in workflows that require LoRA adapters compatible with vLLM.
NEXS Qwen3 32b Russian T Tech Lora is a LoRA adapter designed for use with the Qwen3-32B base model. The adapter is created using mergekit, with tensors extracted from t-tech/T-pro-it-2.0, and is intended for integration with the Qwen/Qwen3-32B model. The model card indicates that the adapter is vLLM-ready and has undergone sanitization for vLLM serving. It is implemented as a Rank-128 LoRA adapter in bf16 format. The evidence also notes compatibility with PEFT, as usage instructions are provided for loading the adapter with the PEFT library in conjunction with the transformers library. The model is distributed via Hugging Face, where it can be accessed for use in libraries, inference providers, notebooks, and local applications. No information is provided regarding pricing, licensing, or specific intended users beyond its technical integration details. The evidence does not specify the particular tasks or domains for which the adapter is optimized, nor does it describe any additional features beyond its technical specifications and compatibility.
Qwen3.6-35B-A3B-MLX-VQ-2.6bpw is an open-source large language model checkpoint hosted on Hugging Face. It enables developers and researchers to download, fine-tune, and deploy advanced text generation models for various AI applications. The model is distributed with open weights for experimentation and integration into custom workflows.
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.
Qwen3.6-35B-A3B-MLX-VQ-3.4bpw is an open-source large language model available on Hugging Face, designed for natural language processing tasks. It supports local inference and can be integrated via API or CLI for research and development purposes. The model is suitable for AI researchers and developers seeking customizable LLMs.
Qwen3-1.7B-AutoRound-W4A16-RTN is an open-source large language model hosted on Hugging Face, designed for text generation and inference. It enables developers and researchers to access, fine-tune, and deploy the model for various NLP tasks. The model is accessible via API and CLI and supports self-hosted deployment.
portallib-qwen3-4b is an open-source LoRA adapter and model checkpoint for the Qwen3-4B 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.
