What are the hardware requirements for AstraGPTCoder 7B?

AstraGPTCoder 7B requires approximately 15.2 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 AstraGPTCoder 7B and how large is it?

AstraGPTCoder 7B is developed by adityawakharkar, 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 AstraGPTCoder 7B?

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

AstraGPTCoder 7B by adityawakharkar — VRAM 15.2GB, 32K context

Name: AstraGPTCoder 7B
Author: adityawakharkar

AstraGPTCoder 7B is an open-source language model by adityawakharkar. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, License: apache-2.0, Instruction-Based, Code Generating, LLM Explorer Score: 0.23.

Astragpt Base model:adapter:adityawakha... Base model:adityawakharkar/ast... Chain-of-thought Codegen Coding Conversational Custom-architecture Custom-tokenizer En Endpoints compatible Finetuned From- From-scratch Instruct Lora Peft Qwen2 Reasoning Region:us Rtx-4090 Safetensors Sharded Tantra-ai-labs Tensorflow Think-tags Unsloth

Model Card on HF 🤗: https://huggingface.co/adityawakharkar/AstraGPTCoder-7B

AstraGPTCoder 7B Parameters and Internals

LLM Name	AstraGPTCoder 7B
Repository 🤗	https://huggingface.co/adityawakharkar/AstraGPTCoder-7B
Model Creator	Tantra AI Labs
Base Model(s)	AstraGPTCoder 7B adityawakharkar/AstraGPTCoder-7B
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-08-03
Maintainer	adityawakharkar
Model Type	qwen2
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-4 4.9 GB: 2-of-4 4.3 GB: 3-of-4 1.1 GB: 4-of-4
Supported Languages	en
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.45.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	float16
Errors	replace

Rank the AstraGPTCoder 7B 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

Best Alternatives to AstraGPTCoder 7B

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Rebase	986K / 15.2 GB	73	2
Qwen2.5 7B Rebase	986K / 15.2 GB	16	2
StockQwen 2.5 7B	128K / 15.2 GB	69	6
DareQwen 2.5 7B	128K / 15.2 GB	11	1
Tessa T1 7B	117K / 15.2 GB	14	10
UIGEN T1.5 7B	117K / 15.2 GB	12	6
Qwen2.5 Coder 7B Instruct	32K / 15.2 GB	2019400	765
...emanticwiki Coder 7B V2 Merged	32K / 15.2 GB	218	0
...Sft Reasoning Official Full Ft	32K / 15.2 GB	464	0
Vibe Coder 7B Max	32K / 15.3 GB	460	1

Note: green Score (e.g. "73.2") means that the model is better than adityawakharkar/AstraGPTCoder-7B.