Llama 7B 4bit Act by wcde

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  4bit   Autotrain compatible   Endpoints compatible   Llama   Quantized   Region:us
Model Card on HF ๐Ÿค—: https://huggingface.co/wcde/llama-7b-4bit-act 

Llama 7B 4bit Act Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 7B 4bit Act (wcde/llama-7b-4bit-act)

Llama 7B 4bit Act Parameters and Internals

Additional Notes 
Model generation options include: - --wbits 4: Using 4-bit weight quantization for model efficiency. - --act-order: Activation order optimization. - --true-sequential: Enforcing true sequential execution for improved training. - --new-eval: Utilizing a new evaluation strategy. - --faster-kernel: Deploying a faster kernel for computational efficiency.
LLM NameLlama 7B 4bit Act
Repository ๐Ÿค—https://huggingface.co/wcde/llama-7b-4bit-act 
Base Model(s)  Todd Proxy LoRA 7b   autobots/Todd_Proxy_LoRA_7b
Model Size7b
Required VRAM3.8 GB
Updated2025-01-19
Maintainerwcde
Model Typellama
Model Files  3.8 GB
Quantization Type4bit
Model ArchitectureLLaMAForCausalLM
Transformers Version4.27.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than wcde/llama-7b-4bit-act.

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