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Speechless Codellama Orca 13B by uukuguy

 »  All LLMs  »  uukuguy  »  Speechless Codellama Orca 13B   URL Share it on

  1758   
  Arxiv:2308.12950   Autotrain compatible   Codegen Dataset:garage-baind/open-plat...   En   Endpoints compatible   Llama   Llama2   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/uukuguy/speechless-codellama-orca-13b 

Speechless Codellama Orca 13B Benchmarks

ARC: 44.37 vs 96.7 (so35)-54.1%
HellaSwag: 65.2 vs 95.3 (gpt4)-31.6%
MMLU: 43.46 vs 88.3 (so35)-50.8%
TruthfulQA: 45.94 vs 59 (gpt4)-22.1%
WinoGrande: 64.01 vs 87.5 (gpt4)-26.8%
GSM8K: 5.99 vs 96.4 (so35)-93.8%
LLME Score: 0.14845
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Speechless Codellama Orca 13B (uukuguy/speechless-codellama-orca-13b)
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Speechless Codellama Orca 13B Parameters and Internals

Model Type 
text generation, code synthesis
Use Cases 
Areas:
Commercial applications, Research
Primary Use Cases:
Code synthesis, Code understanding tasks
Limitations:
Use in non-English languages, Legal and regulatory violations
Considerations:
Users must follow the Responsible Use Guide and perform safety testing.
Additional Notes 
Carbon footprint for training was 65.3 tCO2eq, offset by Meta's sustainability program.
Supported Languages 
en (fluent)
Training Details 
Data Sources:
Llama 2 dataset
Methodology:
Fine-tuned with Orca dataset
Hardware Used:
A100-80GB GPUs
Model Architecture:
Auto-regressive language model with transformer architecture
Safety Evaluation 
Methodologies:
English testing
Risk Categories:
Safety and ethical risks
Ethical Considerations:
Unpredictable outputs; must perform safety testing and tuning tailored to specific applications.
Input Output 
Input Format:
Text input following Alpaca instruction format
Accepted Modalities:
text
Output Format:
Text output
LLM NameSpeechless Codellama Orca 13B
Repository 🤗https://huggingface.co/uukuguy/speechless-codellama-orca-13b 
Model Size13b
Required VRAM26 GB
Updated2025-09-23
Maintaineruukuguy
Model Typellama
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   6.2 GB: 3-of-3
Supported Languagesen
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length16384
Model Max Length16384
Transformers Version4.32.1
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32016
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than uukuguy/speechless-codellama-orca-13b.

Rank the Speechless Codellama Orca 13B 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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