What are the hardware requirements for Alpacallama Plus250 80 20mix?

Alpacallama Plus250 80 20mix requires approximately 16.1 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 Alpacallama Plus250 80 20mix and how large is it?

Alpacallama Plus250 80 20mix is developed by CompassioninMachineLearning, 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 Alpacallama Plus250 80 20mix?

Alpacallama Plus250 80 20mix is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Alpacallama Plus250 80 20mix by CompassioninMachineLearning — VRAM 16.1GB, 128K context

Name: Alpacallama Plus250 80 20mix
Author: CompassioninMachineLearning

Alpacallama Plus250 80 20mix is an open-source language model by CompassioninMachineLearning. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.18.

Base model:compassioninmachine... Base model:finetune:compassion... Conversational En Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/CompassioninMachineLearning/alpacallama_plus250_80_20mix

Alpacallama Plus250 80 20mix Parameters and Internals

LLM Name	Alpacallama Plus250 80 20mix
Repository 🤗	https://huggingface.co/CompassioninMachineLearning/alpacallama_plus250_80_20mix
Base Model(s)	...alpaca Plus Llama31 8bInstruct CompassioninMachineLearning/10kalpaca_plus_llama31_8bInstruct
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-09-05
Maintainer	CompassioninMachineLearning
Model Type	llama
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.51.3
Tokenizer Class	PreTrainedTokenizer
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Alpacallama Plus250 80 20mix capabilities

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Note: green Score (e.g. "73.2") means that the model is better than CompassioninMachineLearning/alpacallama_plus250_80_20mix.