What are the hardware requirements for Sandepa Ai Coder 435M Small MoE?

Sandepa Ai Coder 435M Small MoE requires approximately 0.6 GB of VRAM and supports a context window of 0.5K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Sandepa Ai Coder 435M Small MoE and how large is it?

Sandepa Ai Coder 435M Small MoE is developed by sandepaAI, a model with 582m 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 Sandepa Ai Coder 435M Small MoE?

Sandepa Ai Coder 435M Small MoE is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Sandepa Ai Coder 435M Small MoE by sandepaAI — VRAM 0.6GB, 0.5K context

Name: Sandepa Ai Coder 435M Small MoE
Author: sandepaAI

Sandepa Ai Coder 435M Small MoE is an open-source language model by sandepaAI. Features: 582m LLM, VRAM: 0.6GB, Context: 0.5K, MoE, Quantized, Code Generating, LLM Explorer Score: 0.32.

Base model:quantized:sandepaai... Base model:sandepaai/sandepa a... Codegen Conversational Endpoints compatible Generated from trainer Gguf Mixtral Moe Q8 Quantized Region:us Safetensors Sft Trl

Model Card on HF 🤗: https://huggingface.co/sandepaAI/sandepa_ai_coder_435m_small_moe

Sandepa Ai Coder 435M Small MoE Parameters and Internals

LLM Name	Sandepa Ai Coder 435m Small MoE
Repository 🤗	https://huggingface.co/sandepaAI/sandepa_ai_coder_435m_small_moe
Model Name	sft_output
Base Model(s)	...andepa Ai Coder Small MoE 435m sandepaAI/sandepa_ai_coder_small_moe_435m
Model Size	582m
Required VRAM	0.6 GB
Updated	2026-08-16
Maintainer	sandepaAI
Model Type	mixtral
Model Files	0.6 GB 1.2 GB 0.0 GB
GGUF Quantization	Yes
Quantization Type	q8\|gguf
Generates Code	Yes
Model Architecture	MixtralForCausalLM
Context Length	512
Model Max Length	512
Transformers Version	5.14.1
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Vocabulary Size	50259
Errors	replace

Rank the Sandepa Ai Coder 435M Small MoE 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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...andepa Ai Coder Small MoE 435m	0.5K / 1.2 GB	810	1