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Acrux 500M O1 Journey by prithivMLmods

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  4bit   Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-0.5b-i...   Conversational   Cot   Dataset:gair/o1-journey   En   Endpoints compatible   Instruct   Llama-cpp   O1-journey   Ollama   Quantized   Qwen2   Qwen2.5   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/prithivMLmods/Acrux-500M-o1-Journey 

Acrux 500M O1 Journey Benchmarks

LLME Score: 0.26209
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Acrux 500M O1 Journey (prithivMLmods/Acrux-500M-o1-Journey)

Acrux 500M O1 Journey Parameters and Internals

LLM NameAcrux 500M O1 Journey
Repository 🤗https://huggingface.co/prithivMLmods/Acrux-500M-o1-Journey 
Base Model(s)  Qwen/Qwen2.5-0.5B-Instruct   Qwen/Qwen2.5-0.5B-Instruct
Model Size0.5b
Required VRAM1 GB
Updated2025-02-05
MaintainerprithivMLmods
Model Typeqwen2
Instruction-BasedYes
Model Files  1.0 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licensecreativeml-openrail-m
Context Length32768
Model Max Length32768
Transformers Version4.46.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

Quantized Models of the Acrux 500M O1 Journey

Model
Likes
Downloads
VRAM
Acrux 500M O1 Journey GGUF94150 GB

Best Alternatives to Acrux 500M O1 Journey

Best Alternatives
Context / RAM
Downloads
Likes
...5 Coder 0.5B Instruct Bnb 4bit32K / 0.5 GB73712
... Instruct Unsloth Merged 16bit32K / 1.3 GB8382
Qwen2.5 0.5B Instruct Bnb 4bit32K / 0.5 GB223763
... Instruct Unsloth Merged 16bit32K / 1.3 GB1391
TinySphinx32K / 1 GB340
... Instruct Unsloth Merged 16bit32K / 1.3 GB1301
... Instruct Unsloth Merged 16bit32K / 1.3 GB1261
...en2.5 Coder 0.5B Instruct 4bit32K / 0.3 GB1732
Qwen2 0.5B Instruct Bnb 4bit32K / 0.5 GB63804
Qwen2.5 0.5B Instruct 4bit32K / 0.3 GB2282
Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/Acrux-500M-o1-Journey.

Rank the Acrux 500M O1 Journey 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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