What are the hardware requirements for AhiskaAI V0.4 235M Base?

AhiskaAI V0.4 235M Base requires approximately 0.5 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 AhiskaAI V0.4 235M Base and how large is it?

AhiskaAI V0.4 235M Base is developed by AhiskaAI, a model with 235m 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 AhiskaAI V0.4 235M Base?

AhiskaAI V0.4 235M Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

AhiskaAI V0.4 235M Base by AhiskaAI — VRAM 0.5GB, 2K context

Name: AhiskaAI V0.4 235M Base
Author: AhiskaAI

AhiskaAI V0.4 235M Base is an open-source language model by AhiskaAI. Features: 235m LLM, VRAM: 0.5GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.25.

235m Ahiska-turkish Ahiskaai Base-model Endpoints compatible From-scratch Llama Region:us Safetensors Slm Small-language-model Tr Turkish Turkish-llm

Model Card on HF 🤗: https://huggingface.co/AhiskaAI/AhiskaAI-v0.4-235M-Base

AhiskaAI V0.4 235M Base Parameters and Internals

LLM Name	AhiskaAI V0.4 235M Base
Repository 🤗	https://huggingface.co/AhiskaAI/AhiskaAI-v0.4-235M-Base
Model Size	235m
Required VRAM	0.5 GB
Updated	2026-10-21
Maintainer	AhiskaAI
Model Type	llama
Model Files	0.5 GB
Supported Languages	tr
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	5.12.1
Tokenizer Class	TokenizersBackend
Padding Token	<pad>
Vocabulary Size	24000

Rank the AhiskaAI V0.4 235M Base 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 AhiskaAI V0.4 235M Base

Best Alternatives	Context / RAM	Downloads	Likes
AhiskaAI V0.4 235M IT	2K / 0.5 GB	25	1
...kaAI Experimental V0.2 235M IT	2K / 0.5 GB	22	1
...hiskaAI Experimental V0.2 235M	2K / 0.5 GB	20	1

Note: green Score (e.g. "73.2") means that the model is better than AhiskaAI/AhiskaAI-v0.4-235M-Base.