Cypher CoT 1.8B by aloobun

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  Autotrain compatible   Conversational   Custom code Dataset:kaist-ai/cot-collectio...   Endpoints compatible   Finetuned   Gpt4   H2oai   Mistral   Region:us   Safetensors   Sharded   Synthetic data   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/aloobun/Cypher-CoT-1.8B 

Cypher CoT 1.8B Benchmarks

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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Cypher CoT 1.8B Parameters and Internals

Model Type 
GPT-3 like, Causal Language Model
Additional Notes 
This is an experimental model fine-tuned on a variety of Chain of Thought (CoT) tasks.
Training Details 
Data Sources:
kaist-ai/CoT-Collection
Methodology:
Finetuning, Mixture of Experts
Input Output 
Input Format:
<|system|>~~<|prompt|>~~<|answer|>
Accepted Modalities:
text
LLM NameCypher CoT 1.8B
Repository ๐Ÿค—https://huggingface.co/aloobun/Cypher-CoT-1.8B 
Model Size1.8b
Required VRAM3.7 GB
Updated2024-12-04
Maintaineraloobun
Model Typemistral
Model Files  3.0 GB: 1-of-2   0.7 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length16384
Model Max Length16384
Transformers Version4.37.0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16
Cypher CoT 1.8B (aloobun/Cypher-CoT-1.8B)

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Note: green Score (e.g. "73.2") means that the model is better than aloobun/Cypher-CoT-1.8B.

Rank the Cypher CoT 1.8B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124