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Speculor 2.7B by antiven0m

 »  All LLMs  »  antiven0m  »  Speculor 2.7B   URL Share it on

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  Autotrain compatible   Conversational   Custom code   En   Endpoints compatible   Medical   Phi   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/antiven0m/speculor-2.7b 

Speculor 2.7B Benchmarks

LLME Score: 0.17796
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Speculor 2.7B (antiven0m/speculor-2.7b)

Speculor 2.7B Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
mental health support
Primary Use Cases:
Practice Opening Up, Exploratory Tool, Available 24/7
Limitations:
No Medical Expertise, Lack of Human Context, Limited Knowledge, No Crisis Intervention
Additional Notes 
The model is available 24/7, easy to access, and an exploratory tool for mental health support but should not replace professional services.
Supported Languages 
en (proficient)
Training Details 
Data Sources:
counseling Q&A platforms from sources such as WebMD, synthetic mental health conversations, general instructions, personification data
Safety Evaluation 
Ethical Considerations:
This LLM is intended as a supportive tool and is not a substitute for professional mental health services or licensed therapists. Users should approach their conversations with appropriate expectations.
Responsible Ai Considerations 
Mitigation Strategies:
Flagging System for crisis indicators and Third-Party Moderation by trained human moderators.
Input Output 
Accepted Modalities:
text
LLM NameSpeculor 2.7B
Repository 🤗https://huggingface.co/antiven0m/speculor-2.7b 
Model Size2.7b
Required VRAM5.6 GB
Updated2025-02-22
Maintainerantiven0m
Model Typephi
Model Files  2.0 GB: 1-of-3   2.0 GB: 2-of-3   1.6 GB: 3-of-3
Supported Languagesen
Model ArchitecturePhiForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.38.2
Tokenizer ClassCodeGenTokenizer
Padding Token<|im_end|>
Vocabulary Size51200
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than antiven0m/speculor-2.7b.

Rank the Speculor 2.7B 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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Release v20241227
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