What are the hardware requirements for MLR Executor Llama 8B?

MLR Executor Llama 8B requires approximately 16 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MLR Executor Llama 8B and how large is it?

MLR Executor Llama 8B is developed by sxiong, 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 MLR Executor Llama 8B?

MLR Executor Llama 8B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MLR Executor Llama 8B by sxiong — VRAM 16GB, 128K context

Name: MLR Executor Llama 8B
Author: sxiong

MLR Executor Llama 8B is an open-source language model by sxiong. Features: 8b LLM, VRAM: 16GB, Context: 128K.

Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Conversational Dataset:sxiong/mlr sft data Llama Llama3.1 Reasoning Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/sxiong/MLR_executor_Llama-8B

MLR Executor Llama 8B Parameters and Internals

LLM Name	MLR Executor Llama 8B
Repository 🤗	https://huggingface.co/sxiong/MLR_executor_Llama-8B
Base Model(s)	meta-llama/Llama-3.1-8B meta-llama/Llama-3.1-8B
Model Size	8b
Required VRAM	16 GB
Updated	2026-11-04
Maintainer	sxiong
Model Type	llama
Model Files	2.4 GB: 1-of-7 2.4 GB: 2-of-7 2.5 GB: 3-of-7 2.5 GB: 4-of-7 2.4 GB: 5-of-7 2.5 GB: 6-of-7 1.3 GB: 7-of-7
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.48.3
Tokenizer Class	LlamaTokenizerFast
Beginning of Sentence Token	<｜begin▁of▁sentence｜>
End of Sentence Token	<｜end▁of▁sentence｜>
Vocabulary Size	128256
Torch Data Type	bfloat16

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Note: green Score (e.g. "73.2") means that the model is better than sxiong/MLR_executor_Llama-8B.