What are the hardware requirements for Picur 860M Base?

Picur 860M Base requires approximately 1.7 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Picur 860M Base and how large is it?

Picur 860M Base is developed by picur, a model with 860m 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 Picur 860M Base?

Picur 860M Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Picur 860M Base by picur — VRAM 1.7GB, 32K context

Name: Picur 860M Base
Author: picur

Picur 860M Base is an open-source language model by picur. Features: 860m LLM, VRAM: 1.7GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.3.

Base Conversational Endpoints compatible Hu Hungarian Lfm2 Magyar Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/picur/picur-860M-base

Picur 860M Base Parameters and Internals

LLM Name	Picur 860M Base
Repository 🤗	https://huggingface.co/picur/picur-860M-base
Model Size	860m
Required VRAM	1.7 GB
Updated	2026-10-01
Maintainer	picur
Model Type	lfm2
Model Files	1.7 GB
Supported Languages	hu
Model Architecture	Lfm2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	5.15.1
Tokenizer Class	TokenizersBackend
Padding Token	<\|pad\|>
Vocabulary Size	49152

Rank the Picur 860M Base capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Picur 860M Base

Best Alternatives	Context / RAM	Downloads	Likes
Picur 860M Instruct	32K / 1.7 GB	296	0

Note: green Score (e.g. "73.2") means that the model is better than picur/picur-860M-base.