Suzume Llama 3 8B Multilingual is an open-source language model by lightblue. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: other, Instruction-Based, LLM Explorer Score: 0.24, Arc: 60.8, HellaSwag: 79.5, MMLU: 66.6, GSM8K: 61.6.
Suzume Llama 3 8B Multilingual Parameters and Internals
| Model Type | | multilingual, text generation |
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| Use Cases |
| Areas: | | Research, Commercial applications |
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| Applications: | | Multilingual chat applications |
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| Primary Use Cases: | | Multilingual conversational AI |
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| Limitations: | | Excludes certain problem categories for Russian, Not yet fully evaluated |
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| Considerations: | | Ongoing evaluation and feedback encouraged |
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| Additional Notes | | Ongoing development with future releases |
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| Supported Languages | | languages_supported (multilingual), proficiency_levels (high) |
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| Training Details |
| Data Sources: | | lightblue/tagengo-gpt4, lmsys/lmsys-chat-1m, megagonlabs/instruction_ja, openchat/openchat_sharegpt4_dataset |
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| Data Volume: | | 90,000 multilingual conversations |
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| Methodology: | |
| Context Length: | |
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| Hardware Used: | |
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| Input Output |
| Input Format: | | Prompt messages should be constructed in a chat format |
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| Accepted Modalities: | |
| Output Format: | | Text generation in response format |
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| Performance Tips: | | Utilize vLLM for optimal inference speed |
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