What are the hardware requirements for TinyLlama 1.1B Step 50K 105B ONNX?

TinyLlama 1.1B Step 50K 105B ONNX requires a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed TinyLlama 1.1B Step 50K 105B ONNX and how large is it?

TinyLlama 1.1B Step 50K 105B ONNX is developed by mgoin, a model with 105b 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 TinyLlama 1.1B Step 50K 105B ONNX?

TinyLlama 1.1B Step 50K 105B ONNX is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

TinyLlama 1.1B Step 50K 105B ONNX by mgoin — 2K context

Name: TinyLlama 1.1B Step 50K 105B ONNX
Author: mgoin

TinyLlama 1.1B Step 50K 105B ONNX is an open-source language model by mgoin. Features: 105b LLM, Context: 2K, LLM Explorer Score: 0.09.

Deepsparse Endpoints compatible Llama Onnx Region:us

Model Card on HF 🤗: https://huggingface.co/mgoin/TinyLlama-1.1B-step-50K-105b-ONNX

TinyLlama 1.1B Step 50K 105B ONNX Parameters and Internals

Model Type

Sparse, Neural Network Optimizer

Use Cases

Areas:

Efficiency Optimization, Model Execution Speed

Applications:

Inference acceleration, Deep learning deployments

Primary Use Cases:

Efficient execution of neural networks on CPUs, Sparsity-aware optimizations

Additional Notes

DeepSparse offers substantial cost savings by enabling high-performance AI execution on commodity hardware without GPUs.

Input Output

Input Format:

Sparse model format

Accepted Modalities:

text, audio, image

Output Format:

Optimized model execution results

Performance Tips:

Use quantized models and leverage batch processing for better performance.

Release Notes

Version:

1.0

Date:

2023-02-15

Notes:

Initial release with support for CPU sparsity-based optimizations.

LLM Name	TinyLlama 1.1B Step 50K 105B ONNX
Repository 🤗	https://huggingface.co/mgoin/TinyLlama-1.1B-step-50K-105b-ONNX
Model Size	105b
Updated	2026-07-24
Maintainer	mgoin
Model Type	llama
Model Architecture	LlamaForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.31.0.dev0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float32

Rank the TinyLlama 1.1B Step 50K 105B ONNX 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 TinyLlama 1.1B Step 50K 105B ONNX

Best Alternatives	Context / RAM	Downloads	Likes
Anubis Pro 105B V1	128K / 210.7 GB	4	32
TinyLlama 1.1B Step 50K 105B	2K / 4.4 GB	19902	134
TinyLlama	2K / 2.2 GB	5	0
Tiny Llama 1.1b Odia Ext	2K / 2.2 GB	6	0
...ma 1.1B Step 50K 105B AWQ 4bit	2K / 0.8 GB	6	0
...a 1.1B Step 50K 105B Gptq 4bit	2K / 0.8 GB	14	1

Note: green Score (e.g. "73.2") means that the model is better than mgoin/TinyLlama-1.1B-step-50K-105b-ONNX.