What are the hardware requirements for Another Llama?

Another Llama requires approximately 0.5 GB of VRAM and supports a context window of 1K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Another Llama and how large is it?

Another Llama is developed by bbunzeck, a model with 134.8m 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 Another Llama?

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

Another Llama by bbunzeck — VRAM 0.5GB, 1K context

Name: Another Llama
Author: bbunzeck

Another Llama is an open-source language model by bbunzeck. Features: 134.8m LLM, VRAM: 0.5GB, Context: 1K, LLM Explorer Score: 0.2.

Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/bbunzeck/another-llama

Another Llama Parameters and Internals

LLM Name	Another Llama
Repository 🤗	https://huggingface.co/bbunzeck/another-llama
Model Size	134.8m
Required VRAM	0.5 GB
Updated	2025-08-11
Maintainer	bbunzeck
Model Type	llama
Model Files	0.5 GB 0.0 GB
Model Architecture	LlamaForCausalLM
Context Length	1024
Model Max Length	1024
Transformers Version	4.51.1
Tokenizer Class	PreTrainedTokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	8467
Torch Data Type	float32

Rank the Another Llama 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 Another Llama

Best Alternatives	Context / RAM	Downloads	Likes
Llamalogue	1K / 0.5 GB	5185	0
Llamalogue	1K / 0.5 GB	1064	0

Note: green Score (e.g. "73.2") means that the model is better than bbunzeck/another-llama.