What are the hardware requirements for Dopeystableplats 3B V1?

Dopeystableplats 3B V1 requires approximately 5.9 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Dopeystableplats 3B V1 and how large is it?

Dopeystableplats 3B V1 is developed by vihangd, a model with 3b 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 Dopeystableplats 3B V1?

Dopeystableplats 3B V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Dopeystableplats 3B V1 by vihangd — VRAM 5.9GB, 4K context

Name: Dopeystableplats 3B V1
Author: vihangd

Dopeystableplats 3B V1 is an open-source language model by vihangd. Features: 3b LLM, VRAM: 5.9GB, Context: 4K, License: cc-by-sa-4.0, LLM Explorer Score: 0.11.

Custom code Pytorch Region:us Sharded Stablelm epoch

Model Card on HF 🤗: https://huggingface.co/vihangd/dopeystableplats-3b-v1

Dopeystableplats 3B V1 Benchmarks

LLME Score: 0.10501

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Dopeystableplats 3B V1 (vihangd/dopeystableplats-3b-v1)

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Dopeystableplats 3B V1 Parameters and Internals

Additional Notes

An experimental finetune of the StableLM-3B-4E1T model.

Training Details

Data Sources:

alpaca style datasets

Methodology:

Finetuning with Alpaca-QLoRA and some DPO goodness

Input Output

Input Format:

alpaca style prompt template

LLM Name	Dopeystableplats 3B V1
Repository 🤗	https://huggingface.co/vihangd/dopeystableplats-3b-v1
Model Size	3b
Required VRAM	5.9 GB
Updated	2026-05-13
Maintainer	vihangd
Model Type	stablelm_epoch
Model Files	0.4 GB: 1-of-15 0.4 GB: 2-of-15 0.4 GB: 3-of-15 0.4 GB: 4-of-15 0.4 GB: 5-of-15 0.4 GB: 6-of-15 0.4 GB: 7-of-15 0.4 GB: 8-of-15 0.4 GB: 9-of-15 0.4 GB: 10-of-15 0.4 GB: 11-of-15 0.4 GB: 12-of-15 0.4 GB: 13-of-15 0.4 GB: 14-of-15 0.3 GB: 15-of-15
Model Architecture	StableLMEpochForCausalLM
License	cc-by-sa-4.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.34.1
Tokenizer Class	GPTNeoXTokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	50304
Torch Data Type	float16

Quantized Models of the Dopeystableplats 3B V1

Model	Likes	Downloads	VRAM
Dopeystableplats 3B V1 GGUF	1	900	1 GB
Dopeystableplats 3B V1 GPTQ	0	9	1 GB

Best Alternatives to Dopeystableplats 3B V1

Best Alternatives	Context / RAM	Downloads	Likes
Stable Code 3B Mlx	16K / 5.6 GB	42	1
Aura 3B	4K / 5.6 GB	3	2
Slim Extract	4K / 5.6 GB	169	13
Slim Boolean	4K / 5.6 GB	11	4
Slim Tags 3B	4K / 5.6 GB	15	4
Slim Sa Ner	4K / 5.6 GB	3	6
Slim Summary	4K / 5.6 GB	13	8
Slim Xsum	4K / 5.6 GB	16	6
Tofu 3B	4K / 5.6 GB	8	2
Memphis CoT 3B	4K / 5.6 GB	23	31

Note: green Score (e.g. "73.2") means that the model is better than vihangd/dopeystableplats-3b-v1.

Rank the Dopeystableplats 3B V1 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Release v20260328a

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Dopeystableplats 3B V1 by vihangd