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Interview Qwen2 1.5b1 by Manirajan

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  Autotrain compatible Base model:finetune:unsloth/qw...   Base model:unsloth/qwen2-1.5b   Conversational   En   Endpoints compatible   Qwen2   Region:us   Safetensors   Sft   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/Manirajan/interview_qwen2_1.5b1 

Interview Qwen2 1.5b1 Benchmarks

LLME Score: 0.19373
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Interview Qwen2 1.5b1 (Manirajan/interview_qwen2_1.5b1)

Interview Qwen2 1.5b1 Parameters and Internals

Model Type 
text-generation-inference
Supported Languages 
en (proficient)
Training Details 
Methodology:
Trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameInterview Qwen2 1.5b1
Repository 🤗https://huggingface.co/Manirajan/interview_qwen2_1.5b1 
Base Model(s)  unsloth/Qwen2-1.5B   unsloth/Qwen2-1.5B
Model Size1.5b
Required VRAM3.1 GB
Updated2025-02-22
MaintainerManirajan
Model Typeqwen2
Model Files  3.1 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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DeepScaleR 1.5B Preview128K / 7.1 GB14543462
...Seek R1 Distill Qwen 1.5B ONNX128K /  GB4638651
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AceInstruct 1.5B128K / 3.5 GB59217
DeepSeek R1 Distill Qwen 1.5B128K / 3.5 GB1550610
Qwen2 1.5B128K / 3.1 GB10412288
Stella En 1.5B V5128K / 6.2 GB581890211
Note: green Score (e.g. "73.2") means that the model is better than Manirajan/interview_qwen2_1.5b1.

Rank the Interview Qwen2 1.5b1 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 v20241227
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