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Opt 125M Bnb 4bit by poedator

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  4-bit   4bit   Autotrain compatible   Bitsandbytes   Endpoints compatible   Opt   Pytorch   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/poedator/opt-125m-bnb-4bit 

Opt 125M Bnb 4bit Benchmarks

LLME Score: 0.16826
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Opt 125M Bnb 4bit (poedator/opt-125m-bnb-4bit)

Opt 125M Bnb 4bit Parameters and Internals

Model Type 
quantized model
Use Cases 
Primary Use Cases:
testing
Limitations:
known issue: safetensors deleted linked "quant_map" / "nested_quant_map" items.
Considerations:
This model is work in progress; use it for testing.
Additional Notes 
Quantized using bitsandbytes 4-bit NF4 quantization.
LLM NameOpt 125M Bnb 4bit
Repository 🤗https://huggingface.co/poedator/opt-125m-bnb-4bit 
Model Size125m
Required VRAM0.1 GB
Updated2025-02-05
Maintainerpoedator
Model Typeopt
Model Files  0.1 GB   0.1 GB
Quantization Type4bit
Model ArchitectureOPTForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.36.0.dev0
Tokenizer ClassGPT2Tokenizer
Padding Token<pad>
Vocabulary Size50272
Torch Data Typefloat16
Activation Functionrelu
Errorsreplace

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Opt 125M Gptq2K / 0.1 GB50
Note: green Score (e.g. "73.2") means that the model is better than poedator/opt-125m-bnb-4bit.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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