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CodeLlama 70B Esper by ValiantLabs

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CodeLlama 70B Esper is an open-source language model by ValiantLabs. Features: 70b LLM, VRAM: 212GB, Context: 4K, License: apache-2.0, Code Generating, LLM Explorer Score: 0.12.

  70b   Code   Code-instruct   Code-llama   Codegen   Conversational   Dev-ops   Developer   En   Endpoints compatible   Esper   Llama   Llama-2-chat   Llama2   Region:us   Safetensors   Sharded   Tensorflow   Valiant   Valiant-labs
Model Card on HF 🤗: https://huggingface.co/ValiantLabs/CodeLlama-70B-Esper 

CodeLlama 70B Esper Benchmarks

LLME Score: 0.12403
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CodeLlama 70B Esper (ValiantLabs/CodeLlama-70B-Esper)
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CodeLlama 70B Esper Parameters and Internals

LLM NameCodeLlama 70B Esper
Repository 🤗https://huggingface.co/ValiantLabs/CodeLlama-70B-Esper 
Model Size70b
Required VRAM212 GB
Updated2026-03-27
MaintainerValiantLabs
Model Typellama
Model Files  4.8 GB: 1-of-61   4.6 GB: 2-of-61   4.4 GB: 3-of-61   5.0 GB: 4-of-61   4.4 GB: 5-of-61   4.4 GB: 6-of-61   5.0 GB: 7-of-61   4.4 GB: 8-of-61   4.4 GB: 9-of-61   5.0 GB: 10-of-61   4.4 GB: 11-of-61   4.4 GB: 12-of-61   5.0 GB: 13-of-61   4.4 GB: 14-of-61   4.4 GB: 15-of-61   5.0 GB: 16-of-61   4.4 GB: 17-of-61   4.4 GB: 18-of-61   5.0 GB: 19-of-61   4.4 GB: 20-of-61   4.4 GB: 21-of-61   5.0 GB: 22-of-61   4.4 GB: 23-of-61   4.4 GB: 24-of-61   5.0 GB: 25-of-61   4.4 GB: 26-of-61   4.4 GB: 27-of-61   5.0 GB: 28-of-61   4.4 GB: 29-of-61   4.4 GB: 30-of-61   5.0 GB: 31-of-61   4.4 GB: 32-of-61   4.4 GB: 33-of-61   5.0 GB: 34-of-61   4.4 GB: 35-of-61   4.4 GB: 36-of-61   5.0 GB: 37-of-61   4.4 GB: 38-of-61   4.4 GB: 39-of-61   5.0 GB: 40-of-61   4.4 GB: 41-of-61   4.4 GB: 42-of-61   5.0 GB: 43-of-61   4.4 GB: 44-of-61   4.4 GB: 45-of-61   5.0 GB: 46-of-61
Supported Languagesen
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32016
Torch Data Typefloat32

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CodeLlama 70B Python Hf4K / 77 GB451110
Note: green Score (e.g. "73.2") means that the model is better than ValiantLabs/CodeLlama-70B-Esper.

Rank the CodeLlama 70B Esper 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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