Mcqa Sft Focus Promptuning by coralieb7

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Mcqa Sft Focus Promptuning is an open-source language model by coralieb7. Features: 0.6b LLM, VRAM: 2.4GB, Context: 32K, LLM Explorer Score: 0.19.

  Autotrain compatible Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-0.6b-bas...   Conversational   Endpoints compatible   Generated from trainer   Qwen3   Region:us   Safetensors   Sft   Trl

Mcqa Sft Focus Promptuning Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mcqa Sft Focus Promptuning Parameters and Internals

LLM NameMcqa Sft Focus Promptuning
Repository 🤗https://huggingface.co/coralieb7/mcqa_sft_focus_promptuning 
Model Namemcqa_sft_focus_promptuning
Base Model(s)  Qwen/Qwen3-0.6B-Base   Qwen/Qwen3-0.6B-Base
Model Size0.6b
Required VRAM2.4 GB
Updated2025-09-18
Maintainercoralieb7
Model Typeqwen3
Model Files  2.4 GB   0.0 GB
Model ArchitectureQwen3ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.51.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat32
Errorsreplace

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Qwen3 Reranker 0.6B40K / 1.2 GB1577919346
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GLM 5.1 Qwen3 0.6B CoNDeNse40K / 1.5 GB4452
RexReranker 0.6B40K / 1.2 GB366910
Meet7.5 0.6b Writer Exp40K / 1.2 GB4100
Qwen3 0.6B40K / 1.2 GB19719520
Palindrome Sft Qwen340K / 2.4 GB1410
Supertron2.1 0.6B40K / 0.8 GB02
Palindrome Sft V2 Qwen340K / 2.4 GB810
Evolai Qwen047 V040K / 1.5 GB350
Note: green Score (e.g. "73.2") means that the model is better than coralieb7/mcqa_sft_focus_promptuning.

Rank the Mcqa Sft Focus Promptuning 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 v20260328a