Typhoon V1.5 72B Instruct By scb10x: Benchmarks, Features and Detailed Analysis. Insights on Typhoon V1.5 72B Instruct.

Arxiv:2303.08774 Arxiv:2312.13951 Autotrain compatible Conversational En Endpoints compatible Instruct Qwen2 Region:us Safetensors Sharded Tensorflow Th

Model Card on HF 🤗: https://huggingface.co/scb10x/typhoon-v1.5-72b-instruct

Typhoon V1.5 72B Instruct Benchmarks

LLME Score: 0.19186

^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)

Typhoon V1.5 72B Instruct (scb10x/typhoon-v1.5-72b-instruct)

Typhoon V1.5 72B Instruct Parameters and Internals

Model Type

text generation, instruct

Use Cases

Areas:

instructional, research

Limitations:

inaccurate outputs, bias

Considerations:

Developers should assess the risks associated with inaccuracies and biases.

Additional Notes

Still under development. Incorporates some level of guardrails.

Supported Languages

th (Thai), en (English)

Input Output

Input Format:

ChatML chat-template

Accepted Modalities:

text

Output Format:

text

Performance Tips:

Do not load the model using 4-bit and 8-bit BNB as it may produce inaccurate results.

LLM Name	Typhoon V1.5 72B Instruct
Repository 🤗	https://huggingface.co/scb10x/typhoon-v1.5-72b-instruct
Model Size	72b
Required VRAM	144.5 GB
Updated	2025-01-17
Maintainer	scb10x
Model Type	qwen2
Instruction-Based	Yes
Model Files	4.8 GB: 1-of-30 5.0 GB: 2-of-30 5.0 GB: 3-of-30 4.8 GB: 4-of-30 4.8 GB: 5-of-30 4.8 GB: 6-of-30 5.0 GB: 7-of-30 5.0 GB: 8-of-30 4.8 GB: 9-of-30 4.8 GB: 10-of-30 4.8 GB: 11-of-30 5.0 GB: 12-of-30 5.0 GB: 13-of-30 4.8 GB: 14-of-30 4.8 GB: 15-of-30 4.8 GB: 16-of-30 5.0 GB: 17-of-30 5.0 GB: 18-of-30 4.8 GB: 19-of-30 4.8 GB: 20-of-30 4.8 GB: 21-of-30 5.0 GB: 22-of-30 5.0 GB: 23-of-30 4.8 GB: 24-of-30 4.8 GB: 25-of-30 4.8 GB: 26-of-30 5.0 GB: 27-of-30 5.0 GB: 28-of-30 4.8 GB: 29-of-30 2.9 GB: 30-of-30
Supported Languages	th en
Model Architecture	Qwen2ForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.38.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Quantized Models of the Typhoon V1.5 72B Instruct

Model	Likes	Downloads	VRAM
Typhoon V1.5 72B Instruct AWQ	3	32	41 GB

Best Alternatives to Typhoon V1.5 72B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
EVA Qwen2.5 72B V0.2	128K / 146 GB	1479	12
...n2.5 72B 2x Instruct TIES V1.0	128K / 146.1 GB	10	0
72B Qwen2.5 Kunou V1	128K / 146 GB	363	19
EVA Qwen2.5 72B V0.1	128K / 146 GB	573	14
EVA Qwen2.5 72B V0.0	128K / 146 GB	81	5
Qwen2.5 72B Instruct	32K / 145.5 GB	114963	678
Athene V2 Chat	32K / 146 GB	6288	260
Qwen2 72B Instruct	32K / 145.5 GB	38337	694
Rombos LLM V2.5 Qwen 72B	32K / 146.1 GB	2733	33
Magnum V1 72B	32K / 146 GB	4982	163

Note: green Score (e.g. "73.2") means that the model is better than scb10x/typhoon-v1.5-72b-instruct.

Rank the Typhoon V1.5 72B Instruct 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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Original data from HuggingFace, OpenCompass and various public git repos.

Release v20241227

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