What are the hardware requirements for CodeLlama 3x7B Dialect Experts Random Gate Base?

CodeLlama 3x7B Dialect Experts Random Gate Base requires approximately 30.7 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 CodeLlama 3x7B Dialect Experts Random Gate Base and how large is it?

CodeLlama 3x7B Dialect Experts Random Gate Base is developed by MrezaPRZ, a model with 15.4b 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 CodeLlama 3x7B Dialect Experts Random Gate Base?

CodeLlama 3x7B Dialect Experts Random Gate Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

CodeLlama 3x7B Dialect Experts Random Gate Base by MrezaPRZ — VRAM 30.7GB, 16K context

Name: CodeLlama 3x7B Dialect Experts Random Gate Base
Author: MrezaPRZ

CodeLlama 3x7B Dialect Experts Random Gate Base is an open-source language model by MrezaPRZ. Features: 15.4b LLM, VRAM: 30.7GB, Context: 16K, MoE, Code Generating, LLM Explorer Score: 0.12.

Codegen Endpoints compatible Mixtral Moe Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/MrezaPRZ/CodeLlama-3x7B-dialect-experts-random-gate-base

CodeLlama 3x7B Dialect Experts Random Gate Base Parameters and Internals

LLM Name	CodeLlama 3x7B Dialect Experts Random Gate Base
Repository 🤗	https://huggingface.co/MrezaPRZ/CodeLlama-3x7B-dialect-experts-random-gate-base
Model Size	15.4b
Required VRAM	30.7 GB
Updated	2026-07-01
Maintainer	MrezaPRZ
Model Type	mixtral
Model Files	9.9 GB: 1-of-4 10.0 GB: 2-of-4 9.9 GB: 3-of-4 0.9 GB: 4-of-4
Generates Code	Yes
Model Architecture	MixtralForCausalLM
Context Length	16384
Model Max Length	16384
Transformers Version	4.41.2
Tokenizer Class	CodeLlamaTokenizer
Padding Token	<s>
Vocabulary Size	32016
Torch Data Type	bfloat16

Rank the CodeLlama 3x7B Dialect Experts Random Gate 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

Best Alternatives to CodeLlama 3x7B Dialect Experts Random Gate Base

Best Alternatives	Context / RAM	Downloads
...eLlama 3x7B Dialect Experts It	16K / 30.9 GB	11
CodeLlama 3x7B Base	16K / 30.7 GB	10
...lama 3x7B Dialect Experts Base	16K / 30.7 GB	5

Note: green Score (e.g. "73.2") means that the model is better than MrezaPRZ/CodeLlama-3x7B-dialect-experts-random-gate-base.