Meta Llama 3 8B Instruct GPTQ is an open-source language model by TechxGenus. Features: 8b LLM, VRAM: 5.7GB, Context: 8K, License: other, Quantized, Instruction-Based, LLM Explorer Score: 0.14, Arc: 59.9, HellaSwag: 80, MMLU: 64.8, GSM8K: 65.7.
Meta Llama 3 8B Instruct GPTQ Parameters and Internals
| Model Type | | text generation, instruction tuned |
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| Use Cases |
| Areas: | |
| Applications: | | assistant-like chat, natural language generation tasks |
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| Primary Use Cases: | |
| Limitations: | | out-of-scope for compliance violations, use in languages other than English with limitations |
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| Additional Notes | | Llama 3 addresses users across different backgrounds without unnecessary judgment or normativity. |
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| Supported Languages | | English (intended for commercial and research use) |
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| Training Details |
| Data Sources: | | publicly available online data |
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| Data Volume: | |
| Methodology: | | Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF) |
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| Context Length: | |
| Hardware Used: | | Meta's Research SuperCluster, third-party cloud compute |
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| Model Architecture: | | optimized transformer architecture |
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| Safety Evaluation |
| Methodologies: | | red teaming, adversarial evaluations |
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| Ethical Considerations: | | Developers should perform safety testing and tuning tailored to their specific applications. |
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| Responsible Ai Considerations |
| Fairness: | | openness, inclusivity and helpfulness |
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| Transparency: | | Open approach for better and safer products |
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| Accountability: | |
| Mitigation Strategies: | | Llama Guard and Code Shield safeguards |
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| Input Output |
| Input Format: | |
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| Output Format: | |
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| Release Notes |
| Version: | |
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| Notes: | | The tuned versions use SFT and RLHF to align with human preferences for helpfulness and safety. |
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