初始化项目,由ModelHub XC社区提供模型
Model: filipealmeida/Mistral-7B-v0.1-sharded Source: Original Platform
This commit is contained in:
27
README.md
Normal file
27
README.md
Normal file
@@ -0,0 +1,27 @@
|
||||
---
|
||||
license: apache-2.0
|
||||
pipeline_tag: text-generation
|
||||
tags:
|
||||
- pretrained
|
||||
---
|
||||
|
||||
# Sharded version of Mistral-7B-v0.1
|
||||
|
||||
This is the sharded version of Mistral-7B-v0.1 so you can use it when you have limited CPU memory
|
||||
|
||||
# Model Card for Mistral-7B-v0.1
|
||||
|
||||
The Mistral-7B-v0.1 Large Language Model (LLM) is a pretrained generative text model with 7 billion parameters.
|
||||
Mistral-7B-v0.1 outperforms Llama 2 13B on all benchmarks we tested.
|
||||
|
||||
For full details of this model please read our [Release blog post](https://mistral.ai/news/announcing-mistral-7b/)
|
||||
|
||||
## Model Architecture
|
||||
Mistral-7B-v0.1 is a transformer model, with the following architecture choices:
|
||||
- Grouped-Query Attention
|
||||
- Sliding-Window Attention
|
||||
- Byte-fallback BPE tokenizer
|
||||
|
||||
## The Mistral AI Team
|
||||
|
||||
Albert Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lélio Renard Lavaud, Lucile Saulnier, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, William El Sayed.
|
||||
Reference in New Issue
Block a user