What are the hardware requirements for SparkAI 47M Llama 10B Token?

SparkAI 47M Llama 10B Token requires approximately 0.1 GB of VRAM and supports a context window of 1K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed SparkAI 47M Llama 10B Token and how large is it?

SparkAI 47M Llama 10B Token is developed by vedantjadhav701, a model with 10b 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 SparkAI 47M Llama 10B Token?

SparkAI 47M Llama 10B Token is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

SparkAI 47M Llama 10B Token by vedantjadhav701 — VRAM 0.1GB, 1K context

Name: SparkAI 47M Llama 10B Token
Author: vedantjadhav701

SparkAI 47M Llama 10B Token is an open-source language model by vedantjadhav701. Features: 10b LLM, VRAM: 0.1GB, Context: 1K, License: mit, LLM Explorer Score: 0.25.

Cosmopedia Dataset:huggingfacefw/fineweb-... Dataset:huggingfacetb/cosmoped... En Endpoints compatible Fineweb-edu Llama Pytorch Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/vedantjadhav701/SparkAI-47m-llama-10b-token

SparkAI 47M Llama 10B Token Parameters and Internals

LLM Name	SparkAI 47M Llama 10B Token
Repository 🤗	https://huggingface.co/vedantjadhav701/SparkAI-47m-llama-10b-token
Model Size	10b
Required VRAM	0.1 GB
Updated	2026-09-11
Maintainer	vedantjadhav701
Model Type	llama
Model Files	0.1 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	mit
Context Length	1024
Model Max Length	1024
Transformers Version	5.15.1
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	49152
Errors	replace

Rank the SparkAI 47M Llama 10B Token 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 vedantjadhav701/SparkAI-47m-llama-10b-token.