Speechless Codellama 34B V1.9 is an open-source language model by uukuguy. Features: 34b LLM, VRAM: 67.5GB, Context: 16K, License: llama2, Instruction-Based, Code Generating, LLM Explorer Score: 0.12, Arc: 54.3, HellaSwag: 75.2, MMLU: 56.1, GSM8K: 24.8.
Speechless Codellama 34B V1.9 Parameters and Internals
| Model Type | |
| Use Cases |
| Areas: | | commercial and research use |
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| Primary Use Cases: | | code synthesis, code understanding, Python programming applications, code generation |
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| Limitations: | | Use in any manner that violates applicable laws or regulations |
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| Additional Notes | | Code Llama is a static model trained on an offline dataset. Future versions may improve model safety. |
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| Training Details |
| Data Sources: | | jondurbin/airoboros-2.2, Open-Orca/OpenOrca, garage-bAInd/Open-Platypus, WizardLM/WizardLM_evol_instruct_V2_196k |
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| Data Volume: | |
| Methodology: | | Fine-tuning to improve reasoning and planning abilities |
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| Training Time: | |
| Hardware Used: | |
| Model Architecture: | | Optimized transformer architecture |
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| Responsible Ai Considerations |
| Mitigation Strategies: | | Developers should perform safety testing and tuning tailored to their specific applications. |
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| Input Output |
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Note: green Score (e.g. "73.2") means that the model is better than uukuguy/speechless-codellama-34b-v1.9.