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MonaCeption 7B SLERP by CultriX

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  Merged Model   Autotrain compatible   Base model:cultrix/monatrix-v4   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow

MonaCeption 7B SLERP Benchmarks

LLME Score: 0.20223
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

MonaCeption 7B SLERP Parameters and Internals

LLM NameMonaCeption 7B SLERP
Repository 🤗https://huggingface.co/CultriX/MonaCeption-7B-SLERP 
Base Model(s)  MonaTrix V4   MergeCeption 7B V3   CultriX/MonaTrix-v4   CultriX/MergeCeption-7B-v3
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2024-10-16
MaintainerCultriX
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
Vocabulary Size32000
Torch Data Typebfloat16
MonaCeption 7B SLERP (CultriX/MonaCeption-7B-SLERP)

Quantized Models of the MonaCeption 7B SLERP

Model
Likes
Downloads
VRAM
MonaCeption 7B SLERP DPO1101314 GB

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Test001128K / 14.5 GB50
Note: green Score (e.g. "73.2") means that the model is better than CultriX/MonaCeption-7B-SLERP.

Rank the MonaCeption 7B SLERP Capabilities

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Release v2024072803
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