models mistralai Mixtral 8x22B v0 1 - Azure/azureml-assets GitHub Wiki
The Mixtral-8x22B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts.
Mixtral-8x22B-v0.1 is a pretrained base model and therefore does not have any moderation mechanisms.
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
Metric | Value |
---|---|
Avg. | 74.46 |
AI2 Reasoning Challenge (25-Shot) | 70.48 |
HellaSwag (10-Shot) | 88.73 |
MMLU (5-Shot) | 77.81 |
TruthfulQA (0-shot) | 51.08 |
Winogrande (5-shot) | 84.53 |
GSM8k (5-shot) | 74.15 |
Inference type | Python sample (Notebook) | CLI with YAML |
---|---|---|
Real time | text-generation-online-endpoint.ipynb | text-generation-online-endpoint.sh |
Batch | text-generation-batch-endpoint.ipynb | coming soon |
{
"input_data": {
"input_string": [
"What is your favourite condiment?",
"Do you have mayonnaise recipes?"
],
"parameters": {
"max_new_tokens": 100,
"do_sample": true,
"return_full_text": false
}
}
}
[
{
"0": "\n\nDoes Hellmann's Mayonnaise Mallows really exist?\n\nThis Punctuation Day Sign Maker was a playful way to celebrate Punctuation Day and to attempt to get more people involved in enjoyable punctuation practice that was creative. In this activity, learners were presented with a list of over 20 common punctuation or word processing symbols. They chose their favourite and then created a punctuation sign around it.\n\n## Preparation for this Pun",
"1": " I would imagine that the ingredients consist, at least in large part, of oil and creamy things. Then there are eggs to hold it all together, salt and pepper for taste, and perhaps other flavourings depending on the tradition of any mayonnaise makers who attract your custom. A suitable theory of mayonnaise should surely tell us the function and contribution of these ingredients in a good mayonnaise.\n\nThe distinction between theories and recipes has been a theme in economics and in"
}
]
Version: 4
Featured
SharedComputeCapacityEnabled
hiddenlayerscanned
disable-batch : true
huggingface_model_id : mistralai/Mixtral-8x22B-v0.1
inference_compute_allow_list : ['Standard_ND96amsr_A100_v4']
inference_supported_envs : ['vllm']
license : apache-2.0
task : text-generation
author : Mistral AI
benchmark : quality
View in Studio: https://ml.azure.com/registries/azureml/models/mistralai-Mixtral-8x22B-v0-1/version/4
License: apache-2.0
SharedComputeCapacityEnabled: True
SHA: 76fa59362cd95eb633a4e419c24364c90674966c
inference-min-sku-spec: 96|8|1800|2900
inference-recommended-sku: Standard_ND96amsr_A100_v4
languages: moe, fr, it, de, es, en