---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: cognitivecomputations/dolphin-2.2.1-mistral-7b
datasets:
- generator
model-index:
- name: mistral_instruct_generation
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# chain-texts-0.1-dolphin-mixtral-8x7b

This model is a fine-tuned version of [cognitivecomputations/dolphin-2.2.1-mistral-7b](https://huggingface.co/cognitivecomputations/dolphin-2.2.1-mistral-7b) on the generator dataset.

## Model description

- **Developed by:** Matt Owen
- **Funded by [optional]:** Matt Owen
- **Shared by [optional]:** Matt Owen
- **Model type:** Sparse Mixture-of-Experts (SMoE)
- **Language(s) (NLP):** English
- **License:** The Unlicense
- **Finetuned from model [optional]:** Dolphin 2.6 Mixtral 8x7b

## Intended Uses & Limitations

Easy your day-to-day workload by:
* Generate horny chain text message threads for any holiday
* Other things

### Direct Use

This can be used directly to make semi-spot-on, humorous, risqué chain text messages.

### Out-of-Scope Use

Do not use this model to send unsolicited, creepy messages.

## Bias, Risks, and Limitations

Source data was compiled from message boards, and - as a result - carries all the biases of anonymous internet users.

### Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

## Training and evaluation data

Chain texts scraped from the world wide web.

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 3
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 0.03
- num_epochs: 3

### Framework versions

- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1