BaseRT

BaseRT

Base Compute
CodeQwen

CodeQwen

Alibaba
+
+

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About

BaseRT is a high-performance LLM inference runtime for Apple Silicon that lets developers pull models from Hugging Face, chat with them locally, or serve an OpenAI-compatible API from one CLI. Accelerated by hand-written Metal kernels, it is designed to deliver fast prefill and decode performance on M-series Macs, with published benchmarks showing up to 6.4× faster prefill than llama.cpp, 3.9× faster than MLX, and up to 1.33× faster decode. The basert CLI handles model downloading, conversion, interactive chat, serving, completion, benchmarking, inspection, and bundle signing. Its server supports chat, completions, embeddings, transcription, tool calls, continuous batching, paged KV caching, and prefix caching, while supported models can process text, vision, and audio. BaseRT uses its own .base model format with Q2–Q8 affine quantization, optional AWQ calibration, and signed bundles, and can convert GGUF, Hugging Face, and MLX checkpoints.

About

CodeQwen is the code version of Qwen, the large language model series developed by the Qwen team, Alibaba Cloud. It is a transformer-based decoder-only language model pre-trained on a large amount of data of codes. Strong code generation capabilities and competitive performance across a series of benchmarks. Supporting long context understanding and generation with the context length of 64K tokens. CodeQwen supports 92 coding languages and provides excellent performance in text-to-SQL, bug fixes, etc. You can just write several lines of code with transformers to chat with CodeQwen. Essentially, we build the tokenizer and the model from pre-trained methods, and we use the generate method to perform chatting with the help of the chat template provided by the tokenizer. We apply the ChatML template for chat models following our previous practice. The model completes the code snippets according to the given prompts, without any additional formatting.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

AI infrastructure engineers who need fast, private local model inference and an OpenAI-compatible backend for applications and coding agents

Audience

Anyone seeking an AI tool to improve their natural language understanding operations and text generation tasks

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Base Compute
Founded: 2026
Australia
www.basecompute.co/getbasert

Company Information

Alibaba
Founded: 1999
China
github.com/QwenLM/CodeQwen1.5

Alternatives

Alternatives

CodeGemma

CodeGemma

Google
Qwen-7B

Qwen-7B

Alibaba
Qwen2.5-Max

Qwen2.5-Max

Alibaba
LFM2

LFM2

Liquid AI
Qwen2

Qwen2

Alibaba
Qwen

Qwen

Alibaba

Categories

Categories

Integrations

Hugging Face
Alibaba Cloud
AtCoder
Codeforces
DeepSeek Coder
GPT-3.5
GPT-4
Gemma 4
LangChain
LeetCode
Llama 3.1
Llama 3.2
LlamaIndex
Mistral AI
ModelScope
Ollama
OpenAI
PyTorch
Qwen Studio
Qwen3

Integrations

Hugging Face
Alibaba Cloud
AtCoder
Codeforces
DeepSeek Coder
GPT-3.5
GPT-4
Gemma 4
LangChain
LeetCode
Llama 3.1
Llama 3.2
LlamaIndex
Mistral AI
ModelScope
Ollama
OpenAI
PyTorch
Qwen Studio
Qwen3
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