What are the hardware requirements for Llama 68M Fft?

Llama 68M Fft requires approximately 0.1 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 68M Fft and how large is it?

Llama 68M Fft is developed by lu-vae, a model with 68m 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 68M Fft?

Llama 68M Fft is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 68M Fft by lu-vae — VRAM 0.1GB, 4K context

Name: Llama 68M Fft
Author: lu-vae

Llama 68M Fft is an open-source language model by lu-vae. Features: 68m LLM, VRAM: 0.1GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.13.

Base model:finetune:jackfram/l... Base model:jackfram/llama-68m Endpoints compatible Generated from trainer Llama Pytorch Region:us

Model Card on HF 🤗: https://huggingface.co/lu-vae/llama-68m-fft

Llama 68M Fft Parameters and Internals

Model Type

LlamaForCausalLM

Additional Notes

This model is a fine-tuned version focused on chat-oriented tasks using specified datasets.

Training Details

Data Sources:

/data/data/final_set_cleaned/train/, /data/data/map_coig_cqia.jsonl, /data/data/ruozhiba.jsonl

LLM Name	Llama 68M Fft
Repository 🤗	https://huggingface.co/lu-vae/llama-68m-fft
Base Model(s)	Llama 68M JackFram/llama-68m
Model Size	68m
Required VRAM	0.1 GB
Updated	2026-07-12
Maintainer	lu-vae
Model Type	llama
Model Files	0.1 GB
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.40.1
Tokenizer Class	LlamaTokenizer
Padding Token	<\|end_of_text\|>
Vocabulary Size	32003
Torch Data Type	bfloat16

Rank the Llama 68M Fft 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 68M Fft

Best Alternatives	Context / RAM	Downloads	Likes
Llama 43M Beta	2K / 0.2 GB	6	0
Llama 68M Chat V1	2K / 0.3 GB	692	13
Llama 68M	2K / 0 GB	131563	38
Vicuna 68M	2K / 0.3 GB	11617	6
Gpt2 Sft Dutch	2K / 0.1 GB	9	0
Jack 68M Text Structurization	2K / 0.1 GB	10	2
Llama 68M Oasst Top1	2K / 0.3 GB	10	0
Llama 68M Oasst	2K / 0.3 GB	5	0
Llama 68M Finetuned Wikitext2	2K / 0.3 GB	10	0
JackFram Llama 68M	2K / 0.3 GB	8	5

Note: green Score (e.g. "73.2") means that the model is better than lu-vae/llama-68m-fft.