
`Run the Model`

```python
tokenizer = LlamaTokenizer.from_pretrained("alexpaul/QI-large-v1")

base_model = LlamaForCausalLM.from_pretrained(
    "alexpaul/QI-large-v1",
    load_in_8bit=True,
    device_map='auto',
)

```
{"language": ["en"], "tags": ["code", "music", "finance"], "datasets": ["openwebtext", "RyokoAI/ShareGPT52K", "sahil2801/CodeAlpaca-20k"], "pipeline_tag": "text-generation"}
transformers pytorch llama text-generation code music finance en dataset:openwebtext dataset:RyokoAI/ShareGPT52K dataset:sahil2801/CodeAlpaca-20k autotrain_compatible endpoints_compatible has_space text-generation-inference 8-bit region:us
TAGS
#transformers #pytorch #llama #text-generation #code #music #finance #en #dataset-openwebtext #dataset-RyokoAI/ShareGPT52K #dataset-sahil2801/CodeAlpaca-20k #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #8-bit #region-us 


'Run the Model'


TAGS
#transformers #pytorch #llama #text-generation #code #music #finance #en #dataset-openwebtext #dataset-RyokoAI/ShareGPT52K #dataset-sahil2801/CodeAlpaca-20k #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #8-bit #region-us 
