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NeuralTrix Bf16 by CultriX

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  Merged Model   Autotrain compatible   Bardsai/jaskier-7b-dpo-v3.3 Base model:bardsai/jaskier-7b-... Base model:cultrix/neuraltrix-... Base model:cultrix/neuraltrix-...   Cultrix/neuraltrix-7b-dpo   Cultrix/neuraltrix-v4-bf16   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow

NeuralTrix Bf16 Benchmarks

ARC: 72.87 vs 96.7 (so35)-24.6%
HellaSwag: 89.12 vs 95.3 (gpt4)-6.5%
MMLU: 64.27 vs 88.3 (so35)-27.2%
TruthfulQA: 79.54 vs 59 (gpt4)34.8%
WinoGrande: 84.61 vs 87.5 (gpt4)-3.3%
GSM8K: 67.17 vs 96.4 (so35)-30.3%
LLME Score: 0.20141
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

NeuralTrix Bf16 Parameters and Internals

LLM NameNeuralTrix Bf16
Repository 🤗https://huggingface.co/CultriX/NeuralTrix-bf16 
Base Model(s)  bardsai/jaskier-7b-dpo-v3.3   CultriX/NeuralTrix-v4-bf16   NeuralTrix 7B DPO   bardsai/jaskier-7b-dpo-v3.3   CultriX/NeuralTrix-v4-bf16   CultriX/NeuralTrix-7B-dpo
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2024-09-16
MaintainerCultriX
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16
NeuralTrix Bf16 (CultriX/NeuralTrix-bf16)

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Note: green Score (e.g. "73.2") means that the model is better than CultriX/NeuralTrix-bf16.

Rank the NeuralTrix Bf16 Capabilities

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Release v2024072803
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