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Speechless Codellama 34B V1.9 by uukuguy

 »  All LLMs  »  uukuguy  »  Speechless Codellama 34B V1.9   URL Share it on

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  Arxiv:2308.12950   Autotrain compatible   Code   Codegen Dataset:garage-baind/open-plat... Dataset:jondurbin/airoboros-2....   Dataset:open-orca/openorca Dataset:wizardlm/wizardlm evol...   En   Endpoints compatible   Instruct   Llama   Llama2   Model-index   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/uukuguy/speechless-codellama-34b-v1.9 

Speechless Codellama 34B V1.9 Benchmarks

ARC: 54.27 vs 96.7 (so35)-43.9%
HellaSwag: 75.2 vs 95.3 (gpt4)-21.1%
MMLU: 56.12 vs 88.3 (so35)-36.4%
TruthfulQA: 43.92 vs 59 (gpt4)-25.6%
WinoGrande: 73.56 vs 87.5 (gpt4)-15.9%
GSM8K: 24.79 vs 96.4 (so35)-74.3%
LLME Score: 0.18584
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Speechless Codellama 34B V1.9 (uukuguy/speechless-codellama-34b-v1.9)

Speechless Codellama 34B V1.9 Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
commercial and research use
Primary Use Cases:
code synthesis, code understanding, Python programming applications, code generation
Limitations:
Use in any manner that violates applicable laws or regulations
Additional Notes 
Code Llama is a static model trained on an offline dataset. Future versions may improve model safety.
Training Details 
Data Sources:
jondurbin/airoboros-2.2, Open-Orca/OpenOrca, garage-bAInd/Open-Platypus, WizardLM/WizardLM_evol_instruct_V2_196k
Data Volume:
122,828 samples
Methodology:
Fine-tuning to improve reasoning and planning abilities
Training Time:
4 days, 1:52:09.56
Hardware Used:
A100-80GB
Model Architecture:
Optimized transformer architecture
Responsible Ai Considerations 
Mitigation Strategies:
Developers should perform safety testing and tuning tailored to their specific applications.
Input Output 
Input Format:
Text input only
Output Format:
Text output only
LLM NameSpeechless Codellama 34B V1.9
Repository 🤗https://huggingface.co/uukuguy/speechless-codellama-34b-v1.9 
Model Size34b
Required VRAM67.5 GB
Updated2024-12-22
Maintaineruukuguy
Model Typellama
Instruction-BasedYes
Model Files  9.8 GB: 1-of-7   9.7 GB: 2-of-7   9.7 GB: 3-of-7   9.7 GB: 4-of-7   9.7 GB: 5-of-7   9.7 GB: 6-of-7   9.2 GB: 7-of-7
Supported Languagesen
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length16384
Model Max Length16384
Transformers Version4.33.2
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than uukuguy/speechless-codellama-34b-v1.9.

Rank the Speechless Codellama 34B V1.9 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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Release v20241217
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