What are the hardware requirements for Rockyalquimista888?

Rockyalquimista888 requires approximately 1.3 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 Rockyalquimista888 and how large is it?

Rockyalquimista888 is developed by alquimista888, a model with 350m 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 Rockyalquimista888?

Rockyalquimista888 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Rockyalquimista888 by alquimista888 — VRAM 1.3GB, 2K context

Name: Rockyalquimista888
Author: alquimista888

Rockyalquimista888 is an open-source language model by alquimista888. Features: 350m LLM, VRAM: 1.3GB, Context: 2K, LLM Explorer Score: 0.1.

Endpoints compatible Opt Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/alquimista888/rockyalquimista888

Rockyalquimista888 Parameters and Internals

LLM Name	Rockyalquimista888
Repository 🤗	https://huggingface.co/alquimista888/rockyalquimista888
Model Size	350m
Required VRAM	1.3 GB
Updated	2026-08-07
Maintainer	alquimista888
Model Type	opt
Model Files	1.3 GB 0.0 GB
Model Architecture	OPTForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.35.2
Tokenizer Class	GPT2Tokenizer
Padding Token	<pad>
Vocabulary Size	50272
Torch Data Type	float32
Activation Function	relu
Errors	replace

Rank the Rockyalquimista888 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

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Opt 350M	2K / 0.7 GB	198521	149
Opt Mini Dataset 0	2K / 0.7 GB	8	0
Facebook Opt 350M SFT Korz14	2K / 0.7 GB	12	0
Temp Model Sft	2K / 1.3 GB	7	0
Gpt350 Chat S V0	2K / 0.7 GB	6	0
Gpt350 Chat S V0 1	2K / 0.7 GB	5	0
Dadjokes Tuned Opt	2K / 1.3 GB	8	2
Pygmalion 350M	2K / 1.3 GB	348	54
Remedycure	2K / 1.3 GB	6	0
Sunday	2K / 1.3 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than alquimista888/rockyalquimista888.