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Multi Merged Llama2 7B by prhegde

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  Merged Model   Autotrain compatible   Conversational   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/prhegde/multi-merged-llama2-7b 

Multi Merged Llama2 7B Benchmarks

LLME Score: 0.1902
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Multi Merged Llama2 7B (prhegde/multi-merged-llama2-7b)

Multi Merged Llama2 7B Parameters and Internals

Model Type 
causal language model
Use Cases 
Primary Use Cases:
Answering boolean questions based on a given passage
Additional Notes 
The model is created by merging four distinct models through a process of parameter averaging.
Training Details 
Data Sources:
HWERI/Llama2-7b-sharegpt4, circulus/Llama-2-7b-orca-v1, starmpcc/Asclepius-Llama2-7B, meta-llama/Llama-2-7b-chat-hf
Methodology:
Averaging of model parameters
Input Output 
Input Format:
Text prompt in strings
Accepted Modalities:
text
Output Format:
Generated answer as text
LLM NameMulti Merged Llama2 7B
Repository 🤗https://huggingface.co/prhegde/multi-merged-llama2-7b 
Merged ModelYes
Model Size7b
Required VRAM27.1 GB
Updated2025-02-22
Maintainerprhegde
Model Typellama
Model Files  4.8 GB: 1-of-6   4.9 GB: 2-of-6   4.9 GB: 3-of-6   4.9 GB: 4-of-6   4.9 GB: 5-of-6   2.7 GB: 6-of-6
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.41.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than prhegde/multi-merged-llama2-7b.

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