What are the hardware requirements for LoKuS 13B?

LoKuS 13B requires approximately 26.2 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 LoKuS 13B and how large is it?

LoKuS 13B is developed by JoSw-14, 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 LoKuS 13B?

LoKuS 13B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

LoKuS 13B by JoSw-14 — VRAM 26.2GB, 4K context

Name: LoKuS 13B
Author: JoSw-14

LoKuS 13B is an open-source language model by JoSw-14. Features: 13b LLM, VRAM: 26.2GB, Context: 4K, License: llama2, Instruction-Based, LLM Explorer Score: 0.09.

Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/JoSw-14/LoKuS-13B

LoKuS 13B Benchmarks

LLME Score: 0.09027

^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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LoKuS 13B Parameters and Internals

Model Type

Text Generation

Use Cases

Areas:

Research, Industry

Applications:

Natural language processing, Content generation, Language translation

Primary Use Cases:

Chatbots, Content creation

Limitations:

Not suitable for generating fact-based content without verification, Bias concerns in sensitive topics

Considerations:

Implement safety filters for sensitive content.

Additional Notes

Ensure compliance with local laws regarding AI usage.

Supported Languages

English (High proficiency), Other Languages (Medium proficiency)

Training Details

Data Sources:

Publicly available web data, In-domain text corpora

Data Volume:

1.2 trillion tokens

Methodology:

Standard transformer architecture with advancements in scaling and training techniques

Context Length:

4096

Training Time:

4 weeks

Hardware Used:

1024 NVIDIA A100 GPUs

Model Architecture:

13 billion parameter transformer

Safety Evaluation

Methodologies:

Adversarial testing, Red-teaming

Findings:

Robust against common bias categories, High performance on safety benchmarks

Risk Categories:

Misinformation, Bias, Ethical concerns

Ethical Considerations:

Ethical review and continuous monitoring are recommended.

Responsible Ai Considerations

Fairness:

Ensuring fairness across different demographic groups.

Transparency:

All documentation and model card details are made available.

Accountability:

Meta AI is responsible for the model's outputs.

Mitigation Strategies:

Ongoing model updates to address potential biases.

Input Output

Input Format:

Text input in JSON format

Accepted Modalities:

text

Output Format:

Generated text in JSON format

Performance Tips:

Use batch processing for efficiency on large datasets.

Release Notes

Version:

2.0

Date:

2023-10-14

Notes:

Initial release of LLaMA 2 with improvements in efficiency and accuracy.

LLM Name	LoKuS 13B
Repository 🤗	https://huggingface.co/JoSw-14/LoKuS-13B
Model Size	13b
Required VRAM	26.2 GB
Updated	2026-04-17
Maintainer	JoSw-14
Model Type	llama
Instruction-Based	Yes
Model Files	5.5 GB: 1-of-5 5.4 GB: 2-of-5 5.5 GB: 3-of-5 5.5 GB: 4-of-5 4.3 GB: 5-of-5
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	4096
Model Max Length	4096
Transformers Version	4.32.1
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32001
Torch Data Type	float16

Quantized Models of the LoKuS 13B

Model	Likes	Downloads	VRAM
LoKuS 13B AWQ	1	7	7 GB
LoKuS 13B GGUF	1	25	5 GB
LoKuS 13B GPTQ	2	2	7 GB
LoKuS 13B GGML	1	1	5 GB

Best Alternatives to LoKuS 13B

Best Alternatives	Context / RAM	Downloads	Likes
NexusRaven V2 13B	16K / 26 GB	80	470
CodeLlama 13B Instruct Hf	16K / 26 GB	5282	159
CodeLlama 13B MORepair	16K / 26 GB	12	2
CodeLlama 13B Instruct Hf	16K / 26 GB	234	27
TableLLM 13B	16K / 26 GB	306	32
NexusRaven 13B	16K / 26 GB	17	105
Panda Coder 13B	16K / 26 GB	20	14
... Llama 2 13B Instruct Text2sql	16K / 26 GB	42	28
Gen Sim	16K / 0.3 GB	8	3
Llama 3 13B Instruct Ft	8K / 26.1 GB	10	2

Note: green Score (e.g. "73.2") means that the model is better than JoSw-14/LoKuS-13B.

Rank the LoKuS 13B 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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LoKuS 13B by JoSw-14