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Laser Dolphin Mixtral 2x7b DPO by macadeliccc

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  Autotrain compatible   Endpoints compatible   Mixtral   Model-index   Moe   Region:us   Safetensors   Sharded   Tensorflow

Laser Dolphin Mixtral 2x7b DPO Benchmarks

ARC: 65.96 vs 96.7 (so35)-31.8%
HellaSwag: 85.8 vs 95.3 (gpt4)-10%
MMLU: 63.17 vs 88.3 (so35)-28.5%
TruthfulQA: 60.76 vs 59 (gpt4)3%
WinoGrande: 79.01 vs 87.5 (gpt4)-9.7%
GSM8K: 48.29 vs 96.4 (so35)-49.9%
LLME Score: 0.22722
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Laser Dolphin Mixtral 2x7b DPO Parameters and Internals

LLM NameLaser Dolphin Mixtral 2x7b DPO
Repository 🤗https://huggingface.co/macadeliccc/laser-dolphin-mixtral-2x7b-dpo 
Model Size12.9b
Required VRAM25.8 GB
Updated2024-09-19
Maintainermacadeliccc
Model Typemixtral
Model Files  9.9 GB: 1-of-3   10.0 GB: 2-of-3   5.9 GB: 3-of-3
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16
Laser Dolphin Mixtral 2x7b DPO (macadeliccc/laser-dolphin-mixtral-2x7b-dpo)

Quantized Models of the Laser Dolphin Mixtral 2x7b DPO

Model
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VRAM
... Dolphin Mixtral 2x7b DPO GGUF4733284 GB
... Dolphin Mixtral 2x7b DPO GPTQ101567 GB
...r Dolphin Mixtral 2x7b DPO AWQ91017 GB

Best Alternatives to Laser Dolphin Mixtral 2x7b DPO

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MixTAO 7Bx2 MoE V8.132K / 25.8 GB876052
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MultiMash9 13B Slerp32K / 25.7 GB130
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Multimash3 12B Slerp32K / 25.7 GB90
MultiMash 12B Slerp32K / 25.7 GB200
MultiMash7 12B Slerp32K / 25.7 GB230
Note: green Score (e.g. "73.2") means that the model is better than macadeliccc/laser-dolphin-mixtral-2x7b-dpo.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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