Keigo Slm Qwen3 1.7b Alternatives

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.

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-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.

qwen3.6-35b-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.

Qwen3.5-4B-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.

Qwen3-30B-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.

Qwen3.5-9B 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.

Qwen3.6-27B-Text-NVFP4-MTP is an open-source large language model designed for text and code generation, with features supporting coding agents and tool-calling. It can be run locally and is suitable for AI researchers and developers seeking customizable LLMs.

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.

qwen3-0.6b-itbench-k8s-grpo is an open-source language model for text generation, available on Hugging Face. It is intended for developers and researchers working on NLP tasks and supports local deployment via pip.

Qwen3.5-27B-MLX-4.5bit is an open-source, quantized large language model designed for efficient local text generation using the MLX framework. It supports local inference and is suitable for developers and researchers seeking to run LLMs on their own hardware.

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.

Qwen3.5-0.8B-MTP-GGUF is an open-source language model designed for text generation and research. It supports local inference, is installable via multiple package managers, and is suitable for developers seeking a lightweight, customizable LLM for experimentation.

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.

Qwen3.5-9B-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.

Qwen3.6-35B-A3B-GGUF is an open-source, quantized large language model distributed in GGUF format for local inference and research. It enables developers and researchers to run advanced language models on their own hardware, supporting experimentation and customization. The model is freely available for use and modification.

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.

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.

Srishtik/Qwen3-0.6B-linear-3-adapters-merged-2 is an open-source language model with linear adapters for text generation, available on Hugging Face. It is intended for ML engineers and researchers working on advanced NLP applications.

Qwen3-1.7B-GGUF is an open-source checkpoint of the Qwen3 language model in GGUF format, designed for local inference and text generation. It is suitable for developers and researchers who want to integrate or experiment with large language models in their own environments.

qwen2.5-1.5b-eagle-cot-seed42-es-val0.15-pat3 is an open-source language model hosted on Hugging Face, designed for text generation and research purposes. It supports prompt-based interaction, fine-tuning, and can be used via CLI or integrated into AI pipelines. Ideal 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.

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.

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.

qwen2.5-7b-final-merged 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.