What are the hardware requirements for Llama 68M Chat V1?

Llama 68M Chat V1 requires approximately 0.3 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 68M Chat V1 and how large is it?

Llama 68M Chat V1 is developed by Felladrin, a model with 68m parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Llama 68M Chat V1 perform on standard benchmarks?

Llama 68M Chat V1 has the following published scores: MMLU 25.18. Compare against reference models on this page or on the LLM Explorer leaderboards.

Llama 68M Chat V1 by Felladrin — VRAM 0.3GB, 2K context

Name: Llama 68M Chat V1
Author: Felladrin

Llama 68M Chat V1 is an open-source language model by Felladrin. Features: 68m LLM, VRAM: 0.3GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.16, Arc: 23.3, HellaSwag: 28.3, MMLU: 25.2.

Base model:finetune:jackfram/l... Base model:jackfram/llama-68m Conversational Dataset:amod/mental health cou... Dataset:cognitivecomputations/... Dataset:databricks/databricks-... Dataset:mlabonne/chatml dpo pa... Dataset:open-orca/openorca Dataset:sablo/oasst2 curated Dataset:starfishmedical/webgpt... Dataset:thudm/webglm-qa Dataset:totally-not-an-llm/eve... Deploy:azure En Endpoints compatible Llama Model-index Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Felladrin/Llama-68M-Chat-v1

Llama 68M Chat V1 Parameters and Internals

Model Type

text-generation

LLM Name	Llama 68M Chat V1
Repository 🤗	https://huggingface.co/Felladrin/Llama-68M-Chat-v1
Base Model(s)	Llama 68M JackFram/llama-68m
Model Size	68m
Required VRAM	0.3 GB
Updated	2026-08-03
Maintainer	Felladrin
Model Type	llama
Model Files	0.3 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.35.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	float32

Rank the Llama 68M Chat V1 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 Chat V1

Best Alternatives	Context / RAM	Downloads	Likes
Llama 68M Fft	4K / 0.1 GB	477	0
Llama 43M Beta	2K / 0.2 GB	6	0
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 Felladrin/Llama-68M-Chat-v1.