What are the hardware requirements for Familidata?

Familidata requires approximately 21.4 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Familidata and how large is it?

Familidata is developed by hyokwan, a model with 10.7b 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 Familidata?

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

Familidata by hyokwan — VRAM 21.4GB, 4K context

Name: Familidata
Author: hyokwan

Familidata is an open-source language model by hyokwan. Features: 10.7b LLM, VRAM: 21.4GB, Context: 4K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.15.

Conversational Dataset:hyokwan/famili Deploy:azure Endpoints compatible Finance Instruct Ko Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/hyokwan/familidata

Familidata Benchmarks

LLME Score: 0.14689

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

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Familidata Parameters and Internals

LLM Name	Familidata
Repository 🤗	https://huggingface.co/hyokwan/familidata
Model Size	10.7b
Required VRAM	21.4 GB
Updated	2026-05-22
Maintainer	hyokwan
Model Type	llama
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-5 5.0 GB: 2-of-5 4.9 GB: 3-of-5 4.9 GB: 4-of-5 1.7 GB: 5-of-5
Supported Languages	ko
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.40.0
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	float16

Best Alternatives to Familidata

Best Alternatives	Context / RAM	Downloads	Likes
SOLAR 10.7B Instruct V1.0 128K	128K / 21.4 GB	96	3
SOLAR 10.7B V1.0 Instruct 16K	16K / 21.4 GB	63	2
SauerkrautLM SOLAR Instruct	8K / 21.4 GB	234	46
MetaModelv2	8K / 21.4 GB	118	0
Kazemi 1.2 Solar	8K / 21.4 GB	0	0
SOLAR 10.7B Instruct V1.0	4K / 21.4 GB	62146	654
Somer2	4K / 21.4 GB	11	0
SOLAR 10.7B Instruct V1.0	4K / 21.4 GB	6	0
Solarmer3	4K / 21.4 GB	8	0
Somer	4K / 21.4 GB	9	0

Note: green Score (e.g. "73.2") means that the model is better than hyokwan/familidata.

Rank the Familidata Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Release v20260328a

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Familidata by hyokwan

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Familidata Benchmarks

Familidata Parameters and Internals

Best Alternatives to Familidata

Rank the Familidata Capabilities

What open-source LLMs or SLMs are you in search of? 53999 in total.