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Ballistic CodeLlama 34B V1 GGUF by BallisticAI

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Ballistic CodeLlama 34B V1 GGUF is an open-source language model by BallisticAI. Features: 34b LLM, VRAM: 35.9GB, License: llama2, Quantized, Code Generating, LLM Explorer Score: 0.1.

Base model:ballisticai/ballist... Base model:quantized:ballistic...   Code llama   Codegen   Gguf   Llama   Model-index   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/BallisticAI/Ballistic-CodeLlama-34B-v1-GGUF 

Ballistic CodeLlama 34B V1 GGUF Benchmarks

LLME Score: 0.10321
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ballistic CodeLlama 34B V1 GGUF (BallisticAI/Ballistic-CodeLlama-34B-v1-GGUF)
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Ballistic CodeLlama 34B V1 GGUF Parameters and Internals

Model Type 
llama
Use Cases 
Primary Use Cases:
Programming assistance
Limitations:
This model has undergone very limited testing and requires additional safety testing before deployment.
Additional Notes 
Model is provided in GGUF format, which is the successor to GGML, offering better tokenization and support for special tokens.
Training Details 
Data Sources:
CodeLlama 34B hf, CodeLlama 34B v2, speechless-codellama-34b-v2.0, jondurbin/airoboros-2.2
Methodology:
Merged with other models and additional training.
Safety Evaluation 
Methodologies:
limited testing
Input Output 
Input Format:
Alpaca/Vicuna instruction format
Accepted Modalities:
text
LLM NameBallistic CodeLlama 34B V1 GGUF
Repository 🤗https://huggingface.co/BallisticAI/Ballistic-CodeLlama-34B-v1-GGUF 
Model CreatorBallisticAI
Base Model(s)  Ballistic CodeLlama 34B V1   BallisticAI/Ballistic-CodeLlama-34B-v1
Model Size34b
Required VRAM35.9 GB
Updated2026-07-04
MaintainerBallisticAI
Model Typellama
Model Files  35.9 GB
GGUF QuantizationYes
Quantization Typegguf
Generates CodeYes
Model ArchitectureAutoModel
Licensellama2

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Note: green Score (e.g. "73.2") means that the model is better than BallisticAI/Ballistic-CodeLlama-34B-v1-GGUF.

Rank the Ballistic CodeLlama 34B V1 GGUF Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Code Generation  
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