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Text2cypher Codestral Q4 K M Gguf by tomasonjo

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Base model:mistralai/codestral... Base model:quantized:mistralai... Dataset:tomasonjo/text2cypher-...   En   Endpoints compatible   Gguf   Mistral   Q4   Quantized   Region:us   Unsloth
Model Card on HF 🤗: https://huggingface.co/tomasonjo/text2cypher-codestral-q4_k_m-gguf 

Text2cypher Codestral Q4 K M Gguf Benchmarks

LLME Score: 0.17587
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Text2cypher Codestral Q4 K M Gguf Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, mistral, gguf
Training Details 
Data Sources:
tomasonjo/text2cypher-gpt4o-clean
Methodology:
The model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameText2cypher Codestral Q4 K M Gguf
Repository 🤗https://huggingface.co/tomasonjo/text2cypher-codestral-q4_k_m-gguf 
Base Model(s)  mistralai/Codestral-22B-v0.1   mistralai/Codestral-22B-v0.1
Model Size22b
Required VRAM13.3 GB
Updated2025-06-09
Maintainertomasonjo
Model Typemistral
Model Files  13.3 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|q4|q4_k
Model ArchitectureAutoModel
LicenseMNPL-0.1
Text2cypher Codestral Q4 K M Gguf (tomasonjo/text2cypher-codestral-q4_k_m-gguf)

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Note: green Score (e.g. "73.2") means that the model is better than tomasonjo/text2cypher-codestral-q4_k_m-gguf.

Rank the Text2cypher Codestral Q4 K M 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
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