What are the hardware requirements for Viveka 34M?

Viveka 34M requires approximately 0.1 GB of VRAM and supports a context window of 0.3K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Viveka 34M and how large is it?

Viveka 34M is developed by vrishv, a model with 34m 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 Viveka 34M?

Viveka 34M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Viveka 34M by vrishv — VRAM 0.1GB, 0.3K context

Name: Viveka 34M
Author: vrishv

Viveka 34M is an open-source language model by vrishv. Features: 34m LLM, VRAM: 0.1GB, Context: 0.3K, License: cc-by-nc-4.0.

Dataset:huggingfacefw/fineweb-... Dataset:sedthh/gutenberg engli... Dataset:teklia/iam-line Dataset:wikimedia/wikipedia En Endpoints compatible From-scratch Llama Region:us Safetensors Sentence-scoring Small-language-model

Model Card on HF 🤗: https://huggingface.co/vrishv/Viveka-34M

Viveka 34M Parameters and Internals

LLM Name	Viveka 34M
Repository 🤗	https://huggingface.co/vrishv/Viveka-34M
Model Size	34m
Required VRAM	0.1 GB
Updated	2026-10-27
Maintainer	vrishv
Model Type	llama
Model Files	0.1 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	cc-by-nc-4.0
Context Length	256
Model Max Length	256
Transformers Version	5.20.2
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Vocabulary Size	16000

Rank the Viveka 34M 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 Viveka 34M

Best Alternatives	Context / RAM	Downloads	Likes
Bagel Hermes 34B Slerp	195K / 68.9 GB	8375	1
34B Beta	195K / 69.2 GB	8679	67
Smaug 34B V0.1	195K / 69.2 GB	8082	64
Yi 34B 200K	195K / 68.9 GB	9235	320
Casual Magnum 34B	195K / 68.8 GB	4	1
Bagel 34B V0.2	195K / 68.7 GB	259	41
Yi 34B 200K AEZAKMI V2	195K / 69.2 GB	57	12
Faro Yi 34B	195K / 69.2 GB	8208	6
Bagel DPO 34B V0.5	195K / 68.7 GB	8040	17
Smaug 34B V0.1 ExPO	195K / 69.2 GB	7812	0

Note: green Score (e.g. "73.2") means that the model is better than vrishv/Viveka-34M.