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Model: guardrail/llama-2-7b-guanaco-instruct-sharded
Source: Original Platform

README.md

@@ -0,0 +1,19 @@
+---
+license: apache-2.0
+datasets:
+- timdettmers/openassistant-guanaco
+pipeline_tag: text-generation
+---
+Model that is fine-tuned in 4-bit precision using QLoRA on [timdettmers/openassistant-guanaco](https://huggingface.co/datasets/timdettmers/openassistant-guanaco) and sharded to be used on a free Google Colab instance that can be loaded with 4bits. 
+
+It can be easily imported using the `AutoModelForCausalLM` class from `transformers`:
+
+```
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained(
+          "guardrail/llama-2-7b-guanaco-instruct-sharded",
+          load_in_4bit=True)
+tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
+
+```