Tora Code 7B V1.0 GGUF by TheBloke

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  Arxiv:2309.17452 Base model:llm-agents/tora-cod... Base model:quantized:llm-agent...   Code   Dataset:competition math   Dataset:gsm8k   En   Gguf   Llama   Math   Quantized   Region:us

Tora Code 7B V1.0 GGUF Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tora Code 7B V1.0 GGUF (TheBloke/tora-code-7B-v1.0-GGUF)
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Tora Code 7B V1.0 GGUF Parameters and Internals

Model Type 
llama
Supported Languages 
en (high)
Training Details 
Data Sources:
ToRA-Corpus 16k
Methodology:
Imitation learning (SFT) and output space shaping
Input Output 
Input Format:
<|user|> {prompt} <|assistant|>
Accepted Modalities:
text
LLM NameTora Code 7B V1.0 GGUF
Repository ๐Ÿค—https://huggingface.co/TheBloke/tora-code-7B-v1.0-GGUF 
Model NameToRA Code 7B v1.0
Model CreatorLLM-Agents
Base Model(s)  llm-agents/tora-code-7b-v1.0   llm-agents/tora-code-7b-v1.0
Model Size7b
Required VRAM2.8 GB
Updated2025-08-19
MaintainerTheBloke
Model Typellama
Model Files  2.8 GB   3.6 GB   3.3 GB   3.0 GB   3.8 GB   4.1 GB   3.9 GB   4.7 GB   4.8 GB   4.7 GB   5.5 GB   7.2 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licensellama2

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/tora-code-7B-v1.0-GGUF.

Rank the Tora Code 7B V1.0 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  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124