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Newqwen1e by Ammartatox

 »  All LLMs  »  Ammartatox  »  Newqwen1e   URL Share it on

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  4bit   Autotrain compatible Base model:finetune:unsloth/qw... Base model:unsloth/qwen2-0.5b-...   Conversational   En   Endpoints compatible   Instruct   Pytorch   Quantized   Qwen2   Region:us   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/Daemontatox/newqwen1e 

Newqwen1e Benchmarks

LLME Score: 0.20577
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Newqwen1e (Daemontatox/newqwen1e)

Newqwen1e Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, qwen2, trl
Additional Notes 
The Qwen2 model was trained 2x faster using Unsloth and Huggingface's TRL library.
LLM NameNewqwen1e
Repository 🤗https://huggingface.co/Daemontatox/newqwen1e 
Base Model(s)  unsloth/Qwen2-0.5B-Instruct-bnb-4bit   unsloth/Qwen2-0.5B-Instruct-bnb-4bit
Model Size0.5b
Required VRAM1 GB
Updated2024-12-03
MaintainerAmmartatox
Model Typeqwen2
Instruction-BasedYes
Model Files  1.0 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

Best Alternatives to Newqwen1e

Best Alternatives
Context / RAM
Downloads
Likes
Acrux 500M O1 Journey32K / 1 GB2477
Qwen2.5 0.5B Instruct Bnb 4bit32K / 0.5 GB99552
... Instruct Unsloth Merged 16bit32K / 1.3 GB641
... Instruct Unsloth Merged 16bit32K / 1.3 GB531
... Instruct Unsloth Merged 16bit32K / 1.3 GB301
... Instruct Unsloth Merged 16bit32K / 1.3 GB361
...en2.5 Coder 0.5B Instruct 4bit32K / 0.3 GB1252
Qwen2 0.5B Instruct Bnb 4bit32K / 0.5 GB59384
Qwen2.5 0.5B Instruct 4bit32K / 0.3 GB2972
Qwen2 0.5B 16bit32K / 1 GB520
Note: green Score (e.g. "73.2") means that the model is better than Daemontatox/newqwen1e.

Rank the Newqwen1e Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241217
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