What are the hardware requirements for DmWM LLama 3 1B Harm Ft HarmData AlpacaGPT4 OpenWebText D4 A0.25 DPO?

DmWM LLama 3 1B Harm Ft HarmData AlpacaGPT4 OpenWebText D4 A0.25 DPO requires approximately 4.9 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Where can I download or evaluate DmWM LLama 3 1B Harm Ft HarmData AlpacaGPT4 OpenWebText D4 A0.25 DPO?

DmWM LLama 3 1B Harm Ft HarmData AlpacaGPT4 OpenWebText D4 A0.25 DPO is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

DmWM LLama 3 1B Harm Ft HarmData AlpacaGPT4 OpenWebText D4 A0.25 DPO by Grogros — VRAM 4.9GB, 128K context

Name: DmWM LLama 3 1B Harm Ft HarmData AlpacaGPT4 OpenWebText D4 A0.25 DPO
Author: Grogros

DmWM LLama 3 1B Harm Ft HarmData AlpacaGPT4 OpenWebText D4 A0.25 DPO is an open-source language model by Grogros. Features: 1b LLM, VRAM: 4.9GB, Context: 128K, LLM Explorer Score: 0.16.

Arxiv:1910.09700 Conversational Endpoints compatible Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Grogros/dmWM-LLama-3-1B-Harm-ft-HarmData-AlpacaGPT4-OpenWebText-d4-a0.25-DPO

DmWM LLama 3 1B Harm Ft HarmData AlpacaGPT4 OpenWebText D4 A0.25 DPO Parameters and Internals

LLM Name	DmWM LLama 3 1B Harm Ft HarmData AlpacaGPT4 OpenWebText D4 A0.25 DPO
Repository 🤗	https://huggingface.co/Grogros/dmWM-LLama-3-1B-Harm-ft-HarmData-AlpacaGPT4-OpenWebText-d4-a0.25-DPO
Model Size	1b
Required VRAM	4.9 GB
Updated	2026-07-26
Maintainer	Grogros
Model Type	llama
Model Files	4.9 GB
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.46.3
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|eot_id\|>
Vocabulary Size	128256
Torch Data Type	float32

Rank the DmWM LLama 3 1B Harm Ft HarmData AlpacaGPT4 OpenWebText D4 A0.25 DPO 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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Note: green Score (e.g. "73.2") means that the model is better than Grogros/dmWM-LLama-3-1B-Harm-ft-HarmData-AlpacaGPT4-OpenWebText-d4-a0.25-DPO.