What are the hardware requirements for Phi 1 5 Hinglish Text Pretrained?

Phi 1 5 Hinglish Text Pretrained requires approximately 5.7 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 Phi 1 5 Hinglish Text Pretrained and how large is it?

Phi 1 5 Hinglish Text Pretrained is developed by harshraj, a model with 1.4b 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 Phi 1 5 Hinglish Text Pretrained?

Phi 1 5 Hinglish Text Pretrained is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Phi 1 5 Hinglish Text Pretrained by harshraj — VRAM 5.7GB, 2K context

Name: Phi 1 5 Hinglish Text Pretrained
Author: harshraj

Phi 1 5 Hinglish Text Pretrained is an open-source language model by harshraj. Features: 1.4b LLM, VRAM: 5.7GB, Context: 2K, LLM Explorer Score: 0.12.

Arxiv:1910.09700 Endpoints compatible Phi Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/harshraj/phi-1_5_hinglish_text_pretrained

Phi 1 5 Hinglish Text Pretrained Parameters and Internals

LLM Name	Phi 1 5 Hinglish Text Pretrained
Repository 🤗	https://huggingface.co/harshraj/phi-1_5_hinglish_text_pretrained
Model Size	1.4b
Required VRAM	5.7 GB
Updated	2026-08-08
Maintainer	harshraj
Model Type	phi
Model Files	5.0 GB: 1-of-2 0.7 GB: 2-of-2
Model Architecture	PhiForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.41.0.dev0
Tokenizer Class	CodeGenTokenizer
Vocabulary Size	51200
Torch Data Type	float32
Errors	replace

Rank the Phi 1 5 Hinglish Text Pretrained 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 harshraj/phi-1_5_hinglish_text_pretrained.