What are the hardware requirements for Llama Final?

Llama Final requires approximately 5.5 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama Final and how large is it?

Llama Final is developed by bachelo, a model with 2.7b 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 Llama Final?

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

Llama Final by bachelo — VRAM 5.5GB, 4K context

Name: Llama Final
Author: bachelo

Llama Final is an open-source language model by bachelo. Features: 2.7b LLM, VRAM: 5.5GB, Context: 4K, LLM Explorer Score: 0.12.

Endpoints compatible Llama Pytorch Region:us

Model Card on HF 🤗: https://huggingface.co/bachelo/llama_final

Llama Final Parameters and Internals

LLM Name	Llama Final
Repository 🤗	https://huggingface.co/bachelo/llama_final
Model Size	2.7b
Required VRAM	5.5 GB
Updated	2026-08-08
Maintainer	bachelo
Model Type	llama
Model Files	5.5 GB
Model Architecture	LlamaForCausalLM
Context Length	4096
Model Max Length	4096
Transformers Version	4.31.0
Tokenizer Class	LlamaTokenizer
Padding Token	<pad>
Vocabulary Size	46306
Torch Data Type	float16

Rank the Llama Final 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 Llama Final

Best Alternatives	Context / RAM	Downloads	Likes
Sheared LLaMA 2.7B	4K / 10.8 GB	821	61
Dopeyshearedplats 2.7B V1	4K / 5.7 GB	214	2
...redplats 2.7B V2 Instruct V0.1	4K / 5.4 GB	5	3
Shearedplats 2.7B V2	4K / 5.7 GB	226	2
DPO VinaLlama Completed	4K / 5.6 GB	8	0
Urllm Ko En 2.7B	4K / 11.2 GB	5	0
...heared Llama 2.7B Deita 6K Sft	4K / 5.4 GB	4	1
Sheared LLaMA 2.7B Weblinx	4K / 5.4 GB	23	2
Sheared LLaMA 2.7B Pruned	4K / 5.4 GB	21	3
Vinallama 2.7B Chat	4K / 5.5 GB	370	16

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