What are the hardware requirements for DeepMagic Coder 7B 8.0bpw H8 EXL2?

DeepMagic Coder 7B 8.0bpw H8 EXL2 requires approximately 6.9 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed DeepMagic Coder 7B 8.0bpw H8 EXL2 and how large is it?

DeepMagic Coder 7B 8.0bpw H8 EXL2 is developed by LoneStriker, 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 DeepMagic Coder 7B 8.0bpw H8 EXL2?

DeepMagic Coder 7B 8.0bpw H8 EXL2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

DeepMagic Coder 7B 8.0bpw H8 EXL2 by LoneStriker — VRAM 6.9GB, 16K context

Name: DeepMagic Coder 7B 8.0bpw H8 EXL2
Author: LoneStriker

DeepMagic Coder 7B 8.0bpw H8 EXL2 is an open-source language model by LoneStriker. Features: 7b LLM, VRAM: 6.9GB, Context: 16K, License: other, Quantized, Code Generating, LLM Explorer Score: 0.11.

Codegen Conversational Endpoints compatible Exl2 Llama Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/LoneStriker/DeepMagic-Coder-7b-8.0bpw-h8-exl2

DeepMagic Coder 7B 8.0bpw H8 EXL2 Parameters and Internals

Training Details

Methodology:

task_arithmetic

LLM Name	DeepMagic Coder 7B 8.0bpw H8 EXL2
Repository 🤗	https://huggingface.co/LoneStriker/DeepMagic-Coder-7b-8.0bpw-h8-exl2
Model Size	7b
Required VRAM	6.9 GB
Updated	2026-05-10
Maintainer	LoneStriker
Model Type	llama
Model Files	6.9 GB
Quantization Type	exl2
Generates Code	Yes
Model Architecture	LlamaForCausalLM
License	other
Context Length	16384
Model Max Length	16384
Transformers Version	4.36.2
Tokenizer Class	LlamaTokenizer
Padding Token	<｜end▁of▁sentence｜>
Vocabulary Size	32256
Torch Data Type	float16

Rank the DeepMagic Coder 7B 8.0bpw H8 EXL2 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 DeepMagic Coder 7B 8.0bpw H8 EXL2

Best Alternatives	Context / RAM	Downloads	Likes
CodeLlama 7B Java 16bit	16K / 13.5 GB	10	0
Codellama 7B Bnb 4bit	16K / 3.9 GB	3695	9
...ruct Solidity Bnb 4bit Smashed	16K / 4.2 GB	6	0
...lama 7B Tofuagent Contpretrain	16K / 13.5 GB	6	0
...B Instruct Hf Bnb 4bit Smashed	16K / 4.2 GB	6	0
CodeLlama 7B Python Onnx Fp16	16K / GB	5	1
CodeLlama 7B Python 4bit MLX	16K / 4 GB	235	14
CodelLama7B Inst DPO 7K Mlx	16K / 4.2 GB	49	4
...eLlama 7B Instruct Hf 4bit MLX	16K / 4.2 GB	84	3
CodeLlama 7B Fp16	16K / 13.5 GB	14	7

Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/DeepMagic-Coder-7b-8.0bpw-h8-exl2.