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Inex12Yamshadowexperiment28 7B by automerger

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  Merged Model   Autotrain compatible   Base model:msl7/inex12-7b   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/automerger/Inex12Yamshadowexperiment28-7B 

Inex12Yamshadowexperiment28 7B Benchmarks

LLME Score: 0.17732
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Inex12Yamshadowexperiment28 7B (automerger/Inex12Yamshadowexperiment28-7B)

Inex12Yamshadowexperiment28 7B Parameters and Internals

Training Details 
Methodology:
Merge of MSL7/INEX12-7b and automerger/YamshadowExperiment28-7B using slerp method.
LLM NameInex12Yamshadowexperiment28 7B
Repository 🤗https://huggingface.co/automerger/Inex12Yamshadowexperiment28-7B 
Base Model(s)  INEX12 7B   YamshadowExperiment28 7B   MSL7/INEX12-7b   automerger/YamshadowExperiment28-7B
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2025-02-22
Maintainerautomerger
Model Typemistral
Model Files  9.8 GB: 1-of-2   4.7 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Inex12Yamshadowexperiment28 7B

Model
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VRAM
...2Yamshadowexperiment28 7B GGUF01112 GB

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Test001128K / 14.5 GB90
Note: green Score (e.g. "73.2") means that the model is better than automerger/Inex12Yamshadowexperiment28-7B.

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Release v20241227
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