Text Classification
Transformers
Safetensors
English
llama
text-generation
llama-2
text-embeddings-inference
4-bit precision
awq
Instructions to use TheBloke/llama-2-7B-Guanaco-QLoRA-AWQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheBloke/llama-2-7B-Guanaco-QLoRA-AWQ with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TheBloke/llama-2-7B-Guanaco-QLoRA-AWQ")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("TheBloke/llama-2-7B-Guanaco-QLoRA-AWQ") model = AutoModelForCausalLM.from_pretrained("TheBloke/llama-2-7B-Guanaco-QLoRA-AWQ", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "zero_point": true, | |
| "q_group_size": 128, | |
| "w_bit": 4, | |
| "version": "GEMM" | |
| } |