What are the hardware requirements for Badqubits Seed Coder 8B Ft?

Badqubits Seed Coder 8B Ft requires approximately 0.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Badqubits Seed Coder 8B Ft and how large is it?

Badqubits Seed Coder 8B Ft is developed by justinwoodring, a model with 8b 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 Badqubits Seed Coder 8B Ft?

Badqubits Seed Coder 8B Ft is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Badqubits Seed Coder 8B Ft by justinwoodring — VRAM 0.2GB

Name: Badqubits Seed Coder 8B Ft
Author: justinwoodring

Badqubits Seed Coder 8B Ft is an open-source language model by justinwoodring. Features: 8b LLM, VRAM: 0.2GB, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.28.

Arxiv:1910.09700 4bit Base model:adapter:unsloth/see... Base model:unsloth/seed-coder-... Codegen Conversational Instruct Lora Peft Quantized Region:us Safetensors Sft Trl

Model Card on HF 🤗: https://huggingface.co/justinwoodring/badqubits-seed-coder-8b-ft

Badqubits Seed Coder 8B Ft Parameters and Internals

LLM Name	Badqubits Seed Coder 8B Ft
Repository 🤗	https://huggingface.co/justinwoodring/badqubits-seed-coder-8b-ft
Base Model(s)	...r 8B Instruct Unsloth Bnb 4bit unsloth/Seed-Coder-8B-Instruct-unsloth-bnb-4bit
Model Size	8b
Required VRAM	0.2 GB
Updated	2026-10-30
Maintainer	justinwoodring
Instruction-Based	Yes
Model Files	0.2 GB 0.0 GB
Quantization Type	4bit
Generates Code	Yes
Model Architecture	AutoModel
Model Max Length	32768
Is Biased	none
Tokenizer Class	TokenizersBackend
Padding Token	<[PAD▁TOKEN]>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	gate_proj\|down_proj\|up_proj\|q_proj\|v_proj\|o_proj\|k_proj
LoRA Alpha	32
LoRA Dropout	0
R Param	32

Rank the Badqubits Seed Coder 8B Ft capabilities

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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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