104 lines
3.1 KiB
Markdown
104 lines
3.1 KiB
Markdown
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---
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language:
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- en
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pipeline_tag: text-generation
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tags:
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- cobalt
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- valiant
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- valiant-labs
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- llama
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- llama-3.1
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- llama-3.1-instruct
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- llama-3.1-instruct-8b
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- llama-3
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- llama-3-instruct
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- llama-3-instruct-8b
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- 8b
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- math
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- math-instruct
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- conversational
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- chat
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- instruct
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model_type: llama
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base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
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datasets:
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- sequelbox/Polytope
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- LDJnr/Pure-Dove
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license: llama3.1
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---
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# QuantFactory/Llama3.1-8B-Cobalt-GGUF
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This is quantized version of [ValiantLabs/Llama3.1-8B-Cobalt](https://huggingface.co/ValiantLabs/Llama3.1-8B-Cobalt) created using llama.cpp
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# Original Model Card
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Cobalt is a math-instruct model built on Llama 3.1 8b.
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- High quality math instruct performance within the Llama 3 Instruct chat format
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- Finetuned on synthetic math-instruct data generated with Llama 3.1 405b. [Find the current version of the dataset here!](https://huggingface.co/datasets/sequelbox/Polytope)
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## Version
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This is the **2024-08-16** release of Cobalt for Llama 3.1 8b.
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Help us and recommend Cobalt to your friends! We're excited for more Cobalt releases in the future.
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Right now, we're working on more new Build Tools to come very soon, built on Llama 3.1 :)
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## Prompting Guide
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Cobalt uses the [Llama 3.1 Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) prompt format. The example script below can be used as a starting point for general chat:
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import transformers
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import torch
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model_id = "ValiantLabs/Llama3.1-8B-Cobalt"
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pipeline = transformers.pipeline(
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"text-generation",
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model=model_id,
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model_kwargs={"torch_dtype": torch.bfloat16},
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device_map="auto",
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)
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messages = [
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{"role": "system", "content": "You are Cobalt, expert math AI."},
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{"role": "user", "content": "I'm buying a $50 shirt and a $80 pair of pants, both currently at a 25% discount. How much will I pay?"}
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]
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outputs = pipeline(
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messages,
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max_new_tokens=1024,
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)
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print(outputs[0]["generated_text"][-1])
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## The Model
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Cobalt is built on top of Llama 3.1 8b Instruct, using math-instruct data to supplement math-instruct performance using Llama 3.1 Instruct prompt style.
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Our current version of the Cobalt math-instruct dataset is [sequelbox/Polytope](https://huggingface.co/datasets/sequelbox/Polytope), supplemented with a small selection of data from [LDJnr/Pure-Dove](https://huggingface.co/datasets/LDJnr/Pure-Dove) for general chat consistency.
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Cobalt is created by [Valiant Labs.](http://valiantlabs.ca/)
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[Check out our HuggingFace page for Shining Valiant 2 and our other Build Tools models for creators!](https://huggingface.co/ValiantLabs)
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[Follow us on X for updates on our models!](https://twitter.com/valiant_labs)
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We care about open source.
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For everyone to use.
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We encourage others to finetune further from our models.
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