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CodeLlama 13B Fireplace by ValiantLabs

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CodeLlama 13B Fireplace is an open-source language model by ValiantLabs. Features: 13b LLM, VRAM: 52.3GB, Context: 16K, License: apache-2.0, Code Generating, LLM Explorer Score: 0.11.

  13b   Code   Code-instruct   Codegen   En   Endpoints compatible   Fireplace   Function-calling   Llama   Llama-2-chat   Llama2   Region:us   Safetensors   Sharded   Tensorflow   Valiant   Valiant-labs
Model Card on HF 🤗: https://huggingface.co/ValiantLabs/CodeLlama-13B-Fireplace 

CodeLlama 13B Fireplace Benchmarks

LLME Score: 0.10827
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CodeLlama 13B Fireplace (ValiantLabs/CodeLlama-13B-Fireplace)
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CodeLlama 13B Fireplace Parameters and Internals

LLM NameCodeLlama 13B Fireplace
Repository 🤗https://huggingface.co/ValiantLabs/CodeLlama-13B-Fireplace 
Model Size13b
Required VRAM52.3 GB
Updated2026-06-25
MaintainerValiantLabs
Model Typellama
Model Files  4.9 GB: 1-of-11   5.0 GB: 2-of-11   5.0 GB: 3-of-11   5.0 GB: 4-of-11   5.0 GB: 5-of-11   4.8 GB: 6-of-11   4.8 GB: 7-of-11   4.8 GB: 8-of-11   5.0 GB: 9-of-11   5.0 GB: 10-of-11   3.0 GB: 11-of-11
Supported Languagesen
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length16384
Model Max Length16384
Transformers Version4.37.2
Tokenizer ClassCodeLlamaTokenizer
Padding Token</s>
Vocabulary Size32016
Torch Data Typefloat32

Best Alternatives to CodeLlama 13B Fireplace

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Context / RAM
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NexusRaven V2 13B16K / 26 GB85471
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CodeLlama 13B MORepair16K / 26 GB112
CodeLlama 13B Hf16K / 26 GB2573117
Tora Code 13B V1.016K / 26 GB87815
CodeLlama 13B Python Hf16K / 26 GB55851
...ma 13B Hf Truncated Embeddings16K / 52.3 GB50
CodeLlama 13B Hf16K / 26 GB11610
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CodeLlama13B Finetune V116K / 52.1 GB9570
Note: green Score (e.g. "73.2") means that the model is better than ValiantLabs/CodeLlama-13B-Fireplace.

Rank the CodeLlama 13B Fireplace 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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