Text2cypher Codestral 16bit by tomasonjo

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  16bit   Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/codestral... Dataset:tomasonjo/text2cypher-...   En   Endpoints compatible   Mistral   Quantized   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth

Text2cypher Codestral 16bit Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Text2cypher Codestral 16bit (tomasonjo/text2cypher-codestral-16bit)

Text2cypher Codestral 16bit Parameters and Internals

Model Type 
text-generation-inference, transformers
Additional Notes 
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
Training Details 
Data Sources:
tomasonjo/text2cypher-gpt4o-clean
Methodology:
Trained 2x faster with Unsloth and Huggingface's TRL library
LLM NameText2cypher Codestral 16bit
Repository ๐Ÿค—https://huggingface.co/tomasonjo/text2cypher-codestral-16bit 
Base Model(s)  mistralai/Codestral-22B-v0.1   mistralai/Codestral-22B-v0.1
Model Size22b
Required VRAM44.7 GB
Updated2025-02-05
Maintainertomasonjo
Model Typemistral
Model Files  4.9 GB: 1-of-9   5.0 GB: 2-of-9   5.0 GB: 3-of-9   4.9 GB: 4-of-9   5.0 GB: 5-of-9   5.0 GB: 6-of-9   4.9 GB: 7-of-9   5.0 GB: 8-of-9   5.0 GB: 9-of-9
Supported Languagesen
Quantization Type16bit
Model ArchitectureMistralForCausalLM
LicenseMNPL-0.1
Context Length32768
Model Max Length32768
Transformers Version4.41.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32768
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than tomasonjo/text2cypher-codestral-16bit.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227