What are the hardware requirements for Futaro Chat?

Futaro Chat requires approximately 16.1 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Futaro Chat and how large is it?

Futaro Chat is developed by Sgjustino, a model with 8b 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 Futaro Chat?

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

Futaro Chat by Sgjustino — VRAM 16.1GB, 8K context

Name: Futaro Chat
Author: Sgjustino

Futaro Chat is an open-source language model by Sgjustino. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: mit, Quantized, LLM Explorer Score: 0.13.

4bit Dataset:amod/mental health cou... En Endpoints compatible Llama Medical Pytorch Quantized Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/Sgjustino/futaro_chat

Futaro Chat Parameters and Internals

LLM Name	Futaro Chat
Repository 🤗	https://huggingface.co/Sgjustino/futaro_chat
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-08-08
Maintainer	Sgjustino
Model Type	llama
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Supported Languages	en
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	mit
Context Length	8192
Model Max Length	8192
Transformers Version	4.42.4
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|reserved_special_token_250\|>
Vocabulary Size	128256
Torch Data Type	float16

Rank the Futaro Chat 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 Futaro Chat

Best Alternatives	Context / RAM	Downloads	Likes
...B Instruct Gradient 1048K 4bit	1024K / 4.5 GB	10	2
...B Instruct Gradient 1048K 8bit	1024K / 8.6 GB	11	1
...truct Gradient 1048K Bpw6 EXL2	1024K / 6.7 GB	2	2
...truct Gradient 1048K Bpw5 EXL2	1024K / 5.8 GB	5	0
Llama 3 8B Instruct 1048K 4bit	1024K / 4.5 GB	525	25
Llama 3 8B Instruct 1048K 8bit	1024K / 8.6 GB	213	17
... Gradient 1048K 8.0bpw H8 EXL2	1024K / 8.6 GB	2	3
...ct Gradient 1048K Bpw2.25 EXL2	1024K / 3.4 GB	5	1
Llama 3 8B Instruct 262K 2bit	256K / 2.5 GB	11	1
...B Instruct 262k V2 EXL2 5.0bpw	256K / 5.8 GB	5	1

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