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Llama 2 13B Code 122K by emre

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Llama 2 13B Code 122K is an open-source language model by emre. Features: 13b LLM, VRAM: 26GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.09.

  Autotrain compatible   Code Dataset:emre/llama-2-13b-code-...   Endpoints compatible   Llama   Pytorch   Region:us   Safetensors   Sharded   Tensorboard   Tensorflow
Model Card on HF 🤗: https://huggingface.co/emre/llama-2-13b-code-122k 

Llama 2 13B Code 122K Benchmarks

LLME Score: 0.09233
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 2 13B Code 122K (emre/llama-2-13b-code-122k)
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Llama 2 13B Code 122K Parameters and Internals

Model Type 
code generation, fine-tuned
Use Cases 
Areas:
educational purposes
Applications:
Python code generation
Limitations:
Not intended for inference.
Training Details 
Data Sources:
emre/llama-2-13b-code-122k
Methodology:
fine-tuned using QLoRA
Hardware Used:
Colab Pro+
Input Output 
Accepted Modalities:
text
Output Format:
text
LLM NameLlama 2 13B Code 122K
Repository 🤗https://huggingface.co/emre/llama-2-13b-code-122k 
Model Size13b
Required VRAM26 GB
Updated2025-09-23
Maintaineremre
Model Typellama
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   6.2 GB: 3-of-3   9.9 GB: 1-of-3   9.9 GB: 2-of-3   6.2 GB: 3-of-3
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Luminaura RP 13B128K / 26 GB60
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Openbuddy Llama2 13B V15p1 64K64K / 26.1 GB64
Openbuddy Llama2 13b64k V1564K / 26.1 GB52
Note: green Score (e.g. "73.2") means that the model is better than emre/llama-2-13b-code-122k.

Rank the Llama 2 13B Code 122K 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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