What are the hardware requirements for Smallcp2024?

Smallcp2024 requires a context window of 0.5K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Smallcp2024 and how large is it?

Smallcp2024 is developed by cpayne1303, a model with 2.2m 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 Smallcp2024?

Smallcp2024 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Smallcp2024 by cpayne1303 — 0.5K context

Name: Smallcp2024
Author: cpayne1303

Smallcp2024 is an open-source language model by cpayne1303. Features: 2.2m LLM, Context: 0.5K, License: apache-2.0, LLM Explorer Score: 0.16.

Conversational Dataset:allenai/c4 En Endpoints compatible Llama Model-index Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/cpayne1303/smallcp2024

Smallcp2024 Parameters and Internals

LLM Name	Smallcp2024
Repository 🤗	https://huggingface.co/cpayne1303/smallcp2024
Model Size	2.2m
Required VRAM	0 GB
Updated	2026-08-01
Maintainer	cpayne1303
Model Type	llama
Model Files	0.0 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	512
Model Max Length	512
Transformers Version	4.46.3
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Smallcp2024 capabilities

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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

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