What are the hardware requirements for Llm Jp 13B Instruct Lora Jaster Dolly Oasst V1.0?

Llm Jp 13B Instruct Lora Jaster Dolly Oasst V1.0 requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llm Jp 13B Instruct Lora Jaster Dolly Oasst V1.0 and how large is it?

Llm Jp 13B Instruct Lora Jaster Dolly Oasst V1.0 is developed by llm-jp, a model with 13b 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 Llm Jp 13B Instruct Lora Jaster Dolly Oasst V1.0?

Llm Jp 13B Instruct Lora Jaster Dolly Oasst V1.0 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llm Jp 13B Instruct Lora Jaster Dolly Oasst V1.0 by llm-jp — VRAM 0.1GB

Name: Llm Jp 13B Instruct Lora Jaster Dolly Oasst V1.0
Author: llm-jp

Llm Jp 13B Instruct Lora Jaster Dolly Oasst V1.0 is an open-source language model by llm-jp. Features: 13b LLM, VRAM: 0.1GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.09.

Adapter En Finetuned Instruct Ja Lora Peft Region:us

Model Card on HF 🤗: https://huggingface.co/llm-jp/llm-jp-13b-instruct-lora-jaster-dolly-oasst-v1.0

Llm Jp 13B Instruct Lora Jaster Dolly Oasst V1.0 Parameters and Internals

Model Type

Transformer-based Language Model, text-generation

Use Cases

Areas:

Research, Commercial applications

Limitations:

The models are in early stages and not tuned for human intent and safety.

Additional Notes

Model intended for large-scale language understanding tasks. Developed collaboratively in Japan.

Supported Languages

en (English), ja (Japanese)

Training Details

Data Sources:

Wikipedia, mC4, The Pile, The Stack

Data Volume:

300 million tokens

Methodology:

Instruction tuning

Context Length:

2048

Hardware Used:

96 A100 40GB GPUs for pre-training, 8 A100 40GB GPUs for instruction tuning

Model Architecture:

Transformer

Safety Evaluation

Methodologies:

llm-jp-eval

Input Output

Accepted Modalities:

text

Output Format:

text

LLM Name	Llm Jp 13B Instruct Lora Jaster Dolly Oasst V1.0
Repository 🤗	https://huggingface.co/llm-jp/llm-jp-13b-instruct-lora-jaster-dolly-oasst-v1.0
Model Size	13b
Required VRAM	0.1 GB
Updated	2026-08-03
Maintainer	llm-jp
Instruction-Based	Yes
Model Files	0.1 GB
Supported Languages	en ja
Model Architecture	Adapter
License	apache-2.0
Is Biased	none
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<pad\|LLM-jp>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	c_attn\|c_proj\|c_fc
LoRA Alpha	32
LoRA Dropout	0.05
R Param	8

Rank the Llm Jp 13B Instruct Lora Jaster Dolly Oasst V1.0 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 Llm Jp 13B Instruct Lora Jaster Dolly Oasst V1.0

Best Alternatives	Context / RAM	Downloads	Likes
...10 2024 06 23 06 24 24 3558635	0K / 0.8 GB	5	0
...10 2024 06 22 21 11 23 3558624	0K / 0.8 GB	5	0
Typescript Instruct 20K V4	0K / 26 GB	67	2
Llama 2 13B Instruct V0.2	0K / 0.2 GB	11	10
Typescript Instruct 20K V2	0K / 26 GB	48	2
... 13B Instruct Lora Jaster V1.0	0K / 0.1 GB	13	2
...Instruct Lora Dolly Oasst V1.0	0K / 0.1 GB	2	1
RuGPT 3.5 13B Lora	0K / 0.1 GB	7	12
...lama 13B Instruction Finetune2	0K / 0 GB	10	1
Saiga2 13b Lora	0K / 0.1 GB	0	30

Note: green Score (e.g. "73.2") means that the model is better than llm-jp/llm-jp-13b-instruct-lora-jaster-dolly-oasst-v1.0.