What are the hardware requirements for My Awesome Model?

My Awesome Model requires approximately 0.8 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 My Awesome Model and how large is it?

My Awesome Model is developed by Abhay06102003, a model with 1.1b 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 My Awesome Model?

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

My Awesome Model by Abhay06102003 — VRAM 0.8GB, 2K context

Name: My Awesome Model
Author: Abhay06102003

My Awesome Model is an open-source language model by Abhay06102003. Features: 1.1b LLM, VRAM: 0.8GB, Context: 2K, Quantized, LLM Explorer Score: 0.13.

Arxiv:1910.09700 4-bit 4bit Bitsandbytes Endpoints compatible Llama Quantized Region:us Safetensors Sft Trl

Model Card on HF 🤗: https://huggingface.co/Abhay06102003/My-Awesome_Model

My Awesome Model Parameters and Internals

LLM Name	My Awesome Model
Repository 🤗	https://huggingface.co/Abhay06102003/My-Awesome_Model
Model Size	1.1b
Required VRAM	0.8 GB
Updated	2026-10-21
Maintainer	Abhay06102003
Model Type	llama
Model Files	0.8 GB
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.41.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the My Awesome Model 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 My Awesome Model

Best Alternatives	Context / RAM	Downloads	Likes
...E TinyLlama 1.1B 32K Base 4bit	32K / 0.6 GB	17	1
...E TinyLlama 1.1B 32K Base 8bit	32K / 1.2 GB	17	1
...1B 32K Instruct 8.0bpw H8 EXL2	32K / 1.2 GB	6	1
...1B 32K Instruct 3.0bpw H6 EXL2	32K / 0.5 GB	6	0
Athena TinyLlama V0.1	16K / 2.2 GB	14	0
...lama PY CODER 4bit Lora 4k V12	4K / 2.2 GB	8	0
Tinyllama Coder Py V14	4K / 2.2 GB	5	0
...icipal Prediction Merged Model	4K / 2.2 GB	6	0
TiamaPY V27	4K / 2.2 GB	7	0
TiamaPY 1.1B V24	4K / 2.2 GB	7	0

Note: green Score (e.g. "73.2") means that the model is better than Abhay06102003/My-Awesome_Model.