Modelpublic

adamksn/Llama3.1-8B-Cobalt-GGUF

sourceHugging Facellama3updated 2y agoView on Hugging Face

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Model Card

Description

This repo contains GGUF format model files for Llama3.1-8B-Cobalt.

Files Provided

Name	Quant	Bits	File Size	Remark
llama3.1-8b-cobalt.Q2_K.gguf	Q2_K	2	3.18 GB	2.96G, +3.5199 ppl @ Llama-3-8B
llama3.1-8b-cobalt.Q3_K.gguf	Q3_K	3	4.02 GB	3.74G, +0.6569 ppl @ Llama-3-8B
llama3.1-8b-cobalt.Q4_0.gguf	Q4_0	4	4.66 GB	4.34G, +0.4685 ppl @ Llama-3-8B
llama3.1-8b-cobalt.Q4_K.gguf	Q4_K	4	4.92 GB	4.58G, +0.1754 ppl @ Llama-3-8B
llama3.1-8b-cobalt.Q5_K.gguf	Q5_K	5	5.73 GB	5.33G, +0.0569 ppl @ Llama-3-8B
llama3.1-8b-cobalt.Q6_K.gguf	Q6_K	6	6.60 GB	6.14G, +0.0217 ppl @ Llama-3-8B
llama3.1-8b-cobalt.Q8_0.gguf	Q8_0	8	8.54 GB	7.96G, +0.0026 ppl @ Llama-3-8B

Parameters

path	type	architecture	rope_theta	sliding_win	max_pos_embed
ValiantLabs/Llama3.1-8B-Cobalt	llama	LlamaForCausalLM	500000.0	null	131072

Original Model Card

Cobalt is a math-instruct model built on Llama 3.1 8b.

—High quality math instruct performance within the Llama 3 Instruct chat format
—Finetuned on synthetic math-instruct data generated with Llama 3.1 405b. Find the current version of the dataset here!

Version

This is the 2024-08-16 release of Cobalt for Llama 3.1 8b.

Help us and recommend Cobalt to your friends! We're excited for more Cobalt releases in the future.

Right now, we're working on more new Build Tools to come very soon, built on Llama 3.1 :)

Prompting Guide

Cobalt uses the Llama 3.1 Instruct prompt format. The example script below can be used as a starting point for general chat:

import transformers import torch

model_id = "ValiantLabs/Llama3.1-8B-Cobalt"

pipeline = transformers.pipeline( "text-generation", model=modelid, modelkwargs={"torchdtype": torch.bfloat16}, devicemap="auto", )

messages = [ {"role": "system", "content": "You are Cobalt, expert math AI."}, {"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?"} ]

outputs = pipeline( messages, maxnewtokens=1024, )

print(outputs[0]["generated_text"][-1])

The Model

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.

Our current version of the Cobalt math-instruct dataset is sequelbox/Polytope, supplemented with a small selection of data from LDJnr/Pure-Dove for general chat consistency.

image/jpeg

Cobalt is created by Valiant Labs.

Check out our HuggingFace page for Shining Valiant 2 and our other Build Tools models for creators!

We care about open source. For everyone to use.

We encourage others to finetune further from our models.