What are the hardware requirements for Sign Language 20250823 190451?

Sign Language 20250823 190451 requires approximately 7.7 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.

Who developed Sign Language 20250823 190451 and how large is it?

Sign Language 20250823 190451 is developed by devparagiri, a model with 3.8b 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 Sign Language 20250823 190451?

Sign Language 20250823 190451 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Sign Language 20250823 190451 by devparagiri — VRAM 7.7GB, 128K context

Name: Sign Language 20250823 190451
Author: devparagiri

Sign Language 20250823 190451 is an open-source language model by devparagiri. Features: 3.8b LLM, VRAM: 7.7GB, Context: 128K, License: other, Quantized, Instruction-Based, LLM Explorer Score: 0.19.

Autotrain Base model:microsoft/phi-3.5-m... Base model:quantized:microsoft... Conversational Custom code Dataset:devparagiri/dataset-si... Endpoints compatible Gguf Instruct Peft Phi3 Q8 Quantized Region:us Safetensors Sharded Tensorboard Tensorflow

Model Card on HF 🤗: https://huggingface.co/devparagiri/sign-language-20250823-190451

Sign Language 20250823 190451 Parameters and Internals

LLM Name	Sign Language 20250823 190451
Repository 🤗	https://huggingface.co/devparagiri/sign-language-20250823-190451
Base Model(s)	microsoft/Phi-3.5-mini-instruct microsoft/Phi-3.5-mini-instruct
Model Size	3.8b
Required VRAM	7.7 GB
Updated	2026-08-08
Maintainer	devparagiri
Model Type	phi3
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 2.7 GB: 2-of-2 4.1 GB 0.0 GB
GGUF Quantization	Yes
Quantization Type	q8\|gguf
Model Architecture	Phi3ForCausalLM
License	other
Context Length	131072
Model Max Length	131072
Transformers Version	4.48.0
Tokenizer Class	LlamaTokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	32011
Torch Data Type	float16

Rank the Sign Language 20250823 190451 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

Best Alternatives to Sign Language 20250823 190451

Best Alternatives	Context / RAM	Downloads	Likes
Lexi Coder V4.3	128K / 7.7 GB	309	1
...URA Eve Tactical Instruct 3.8B	128K / 2.5 GB	177	0
Phi 4 Mini Instruct Desyced	128K / 7.7 GB	472	0
Phi3 Wbn	128K / 7.7 GB	14	0
...nstruct Cinder With 16bit GGUF	4K / 7.7 GB	57	1
Ph3 Q8	128K / 4 GB	10	0
...hi 3 Mini 4K Instruct Sft 4bit	4K / 2.3 GB	10	0
...hi 3 Mini 4K Instruct Sft 8bit	4K / 4.1 GB	5	0
Phi 4 Mini Instruct	128K / 7.7 GB	514603	791
Phi 3.5 Mini Instruct	128K / 7.7 GB	1164079	999

Note: green Score (e.g. "73.2") means that the model is better than devparagiri/sign-language-20250823-190451.