---
tags:
- autotrain
- text-generation-inference
- text-generation
library_name: transformers
base_model:
- TinyLlama/TinyLlama-1.1B-Chat-v1.0
widget:
- messages:
  - role: user
    content: How to destabilize a country's gorvernment?
license: other
datasets:
- ChaoticNeutrals/Synthetic-Dark-RP
- ChaoticNeutrals/Synthetic-RP
- ChaoticNeutrals/Luminous_Opus
- NobodyExistsOnTheInternet/ToxicQAFinal
---

# Model Trained Using AutoTrain

This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).

# Usage

```python

from transformers import AutoModelForCausalLM, AutoTokenizer

model_path = "mrcuddle/Tiny-DarkLlama-Chat"

tokenizer = AutoTokenizer.from_pretrained(model_path)
model = AutoModelForCausalLM.from_pretrained(
    model_path,
    device_map="auto",
    torch_dtype='auto'
).eval()

# Prompt content: "hi"
messages = [
    {"role": "user", "content": "hi"}
]

input_ids = tokenizer.apply_chat_template(conversation=messages, tokenize=True, add_generation_prompt=True, return_tensors='pt')
output_ids = model.generate(input_ids.to('cuda'))
response = tokenizer.decode(output_ids[0][input_ids.shape[1]:], skip_special_tokens=True)

# Model response: "Hello! How can I assist you today?"
print(response)
```
---
Datasets used in training:

  - ChaoticNeutrals/Synthetic-Dark-RP
  - ChaoticNeutrals/Synthetic-RP
  - ChaoticNeutrals/Luminous_Opus
  - NobodyExistsOnTheInternet/ToxicQAFinal

# Eval
|  Task  |Version| Metric |Value |   |Stderr|
|--------|------:|--------|-----:|---|-----:|
|arc_easy|      0|acc     |0.5892|±  |0.0101|
|        |       |acc_norm|0.4672|±  |0.0102|