What are the hardware requirements for Aixcoder 7B Base?

Aixcoder 7B Base requires approximately 14.9 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Aixcoder 7B Base and how large is it?

Aixcoder 7B Base is developed by aiXcoder, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Aixcoder 7B Base?

Aixcoder 7B Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Aixcoder 7B Base by aiXcoder — VRAM 14.9GB, 32K context

Name: Aixcoder 7B Base
Author: aiXcoder

Aixcoder 7B Base is an open-source language model by aiXcoder. Features: 7b LLM, VRAM: 14.9GB, Context: 32K, LLM Explorer Score: 0.12.

Deploy:azure Endpoints compatible Llama Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/aiXcoder/aixcoder-7b-base

Aixcoder 7B Base Parameters and Internals

Supported Languages

en (High proficiency)

Training Details

Data Volume:

1.2T Unique Tokens

Input Output

Performance Tips:

Install flash attention for faster inference speeds, especially for large models.

LLM Name	Aixcoder 7B Base
Repository 🤗	https://huggingface.co/aiXcoder/aixcoder-7b-base
Model Size	7b
Required VRAM	14.9 GB
Updated	2026-08-06
Maintainer	aiXcoder
Model Type	llama
Model Files	14.9 GB 14.9 GB: 1-of-1 14.9 GB: 1-of-1
Model Architecture	LlamaForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.34.1
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	49152
Torch Data Type	bfloat16

Rank the Aixcoder 7B Base capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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Note: green Score (e.g. "73.2") means that the model is better than aiXcoder/aixcoder-7b-base.