What are the hardware requirements for BigYi 15.75B 200K?

BigYi 15.75B 200K requires approximately 30.3 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed BigYi 15.75B 200K and how large is it?

BigYi 15.75B 200K is developed by Joseph717171, a model with 9b 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 BigYi 15.75B 200K?

BigYi 15.75B 200K is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

BigYi 15.75B 200K by Joseph717171 — VRAM 30.3GB, 256K context

Name: BigYi 15.75B 200K
Author: Joseph717171

BigYi 15.75B 200K is an open-source language model by Joseph717171. Features: 9b LLM, VRAM: 30.3GB, Context: 256K, License: other, Merged, LLM Explorer Score: 0.12.

Merged Model Arxiv:2311.16502 Arxiv:2401.11944 Arxiv:2403.04652 Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Joseph717171/BigYi-15.75B-200k

BigYi 15.75B 200K Parameters and Internals

Model Type

base, completion

Additional Notes

Credit for the description goes to ddh0, mergekit, and 01-ai. Inspired by abacusai's bigyi-15b. This is a merge of pre-trained language models created using mergekit.

Training Details

Methodology:

layer-interleaving

LLM Name	BigYi 15.75B 200K
Repository 🤗	https://huggingface.co/Joseph717171/BigYi-15.75B-200k
Merged Model	Yes
Model Size	9b
Required VRAM	30.3 GB
Updated	2026-04-19
Maintainer	Joseph717171
Model Type	llama
Model Files	4.0 GB: 1-of-8 4.0 GB: 2-of-8 4.0 GB: 3-of-8 4.0 GB: 4-of-8 4.0 GB: 5-of-8 4.0 GB: 6-of-8 4.0 GB: 7-of-8 2.3 GB: 8-of-8
Model Architecture	LlamaForCausalLM
License	other
Context Length	262144
Model Max Length	262144
Transformers Version	4.40.0.dev0
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	64000
Torch Data Type	bfloat16

Rank the BigYi 15.75B 200K capabilities

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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 Joseph717171/BigYi-15.75B-200k.