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---
base_model: unsloth/meta-llama-3.1-8b-instruct-unsloth-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
license: apache-2.0
language:
- en
datasets:
- GeneralReasoning/GeneralThought-430K
- isaiahbjork/cot-logic-reasoning
---
# Uploaded model
- **Developed by:** alibidaran
- **License:** apache-2.0
- **Finetuned from model :** unsloth/meta-llama-3.1-8b-instruct-unsloth-bnb-4bit
- **Finedtuned with SFT Algorithm**
## Direct Usages:
``` python
from transformers import TextStreamer
from unsloth import FastLanguageModel
import torch
max_seq_length = 2048 # Choose any! We auto support RoPE Scaling internally!
dtype = 'Bfloat16' # None for auto detection. Float16 for Tesla T4, V100, Bfloat16 for Ampere+
load_in_4bit = True
model, tokenizer = FastLanguageModel.from_pretrained(
model_name ="alibidaran/LLAMA3-instructive_reasoning",
max_seq_length = max_seq_length,
#dtype = dtype,
load_in_4bit = load_in_4bit,
#fast_inference = True, # Enable vLLM fast inference
max_lora_rank = 128,
gpu_memory_utilization = 0.6, # Reduce if out of memory
# token = "hf_...", # use one if using gated models like meta-llama/Llama-2-7b-hf
)
FastLanguageModel.for_inference(model) # Enable native 2x faster inference
system_prompt="""
You are a reasonable expert who thinks and answer the users question.
Before respond first think and create a chain of thoughts in your mind.
Then respond to the client.
Your chain of thought and reflection must be in <thinking>..</thinking> format and your respond
should be in the <output>..</output> format.
"""
messages = [
{'role':'system','content':system_prompt},
{"role": "user", "content":'How many r has the word of strawberry?' },
]
inputs = tokenizer.apply_chat_template(
messages,
tokenize = True,
add_generation_prompt = True, # Must add for generation
return_tensors = "pt",
).to("cuda")
text_streamer = TextStreamer(tokenizer, skip_prompt = True)
_ = model.generate(input_ids = inputs, streamer = text_streamer, max_new_tokens =2048,
use_cache = True, temperature = 0.7, min_p = 0.9)
```
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) |