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CodeLlama 34B Guanaco by mzbac

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CodeLlama 34B Guanaco is an open-source language model by mzbac. Features: 34b LLM, VRAM: 67.5GB, Context: 16K, License: mit, Code Generating, LLM Explorer Score: 0.11.

  Codegen   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/mzbac/CodeLlama-34b-guanaco 

CodeLlama 34B Guanaco Benchmarks

LLME Score: 0.10736
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CodeLlama 34B Guanaco (mzbac/CodeLlama-34b-guanaco)
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CodeLlama 34B Guanaco Parameters and Internals

Model Type 
fine-tuned, text generation
Use Cases 
Limitations:
struggles to determine the end of the answer
Training Details 
Data Sources:
OpenAssistant-Guanaco dataset
Methodology:
fine-tuned on text chunks instead of Q&A pairs
Input Output 
Input Format:
### Human: {prompt} ### Assistant:
Accepted Modalities:
text
Performance Tips:
Recommend using a stop string like "### Human:" to prevent the model from talking to itself.
LLM NameCodeLlama 34B Guanaco
Repository 🤗https://huggingface.co/mzbac/CodeLlama-34b-guanaco 
Model Size34b
Required VRAM67.5 GB
Updated2026-06-09
Maintainermzbac
Model Typellama
Model Files  9.8 GB: 1-of-7   9.7 GB: 2-of-7   9.7 GB: 3-of-7   9.7 GB: 4-of-7   9.7 GB: 5-of-7   9.7 GB: 6-of-7   9.2 GB: 7-of-7
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length16384
Model Max Length16384
Transformers Version4.34.0
Tokenizer ClassCodeLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the CodeLlama 34B Guanaco

Model
Likes
Downloads
VRAM
CodeLlama 34B Guanaco Gptq519918 GB

Best Alternatives to CodeLlama 34B Guanaco

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CodeLlama 34B Python Hf16K / 67.5 GB109699
CodeLlama 34B Hf16K / 67.5 GB11382
Note: green Score (e.g. "73.2") means that the model is better than mzbac/CodeLlama-34b-guanaco.

Rank the CodeLlama 34B Guanaco 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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Release v20260328a
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