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Panda Coder 13B by aiplanet

 »  All LLMs  »  aiplanet  »  Panda Coder 13B   URL Share it on

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  Autotrain compatible Base model:codellama/codellama... Base model:finetune:codellama/...   Codegen   Conversational Dataset:nickrosh/evol-instruct... Dataset:tokenbender/code instr...   En   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/aiplanet/panda-coder-13B 

Panda Coder 13B Benchmarks

LLME Score: 0.13763
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Panda Coder 13B (aiplanet/panda-coder-13B)

Panda Coder 13B Parameters and Internals

Model Type 
text generation, code generation
Use Cases 
Areas:
research, commercial applications
Additional Notes 
Panda Coder is tailored to transform natural language instructions into code.
Supported Languages 
en (native)
Training Details 
Data Sources:
TokenBender/code_instructions_122k_alpaca_style, nickrosh/Evol-Instruct-Code-80k-v1
Input Output 
Input Format:
textual instructions in NLP format
Accepted Modalities:
text
Output Format:
code
LLM NamePanda Coder 13B
Repository 🤗https://huggingface.co/aiplanet/panda-coder-13B 
Base Model(s)  CodeLlama 13B Instruct Hf   codellama/CodeLlama-13b-Instruct-hf
Model Size13b
Required VRAM26 GB
Updated2025-02-05
Maintaineraiplanet
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   4.9 GB: 4-of-6   4.9 GB: 5-of-6   1.2 GB: 6-of-6
Supported Languagesen
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length16384
Model Max Length16384
Transformers Version4.38.2
Tokenizer ClassCodeLlamaTokenizer
Padding Token</s>
Vocabulary Size32016
Torch Data Typefloat16

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NexusRaven V2 13B16K / 26 GB3904466
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...Llama 13B Instruct Hf 4bit MLX16K / 7.8 GB642
Note: green Score (e.g. "73.2") means that the model is better than aiplanet/panda-coder-13B.

Rank the Panda Coder 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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