ValiantLabs_-_Llama3.2-3B-Esper2-gguf

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Llama3.2-3B-Esper2 - GGUF

• Model creator: https://huggingface.co/ValiantLabs/
• Original model: https://huggingface.co/ValiantLabs/Llama3.2-3B-Esper2/

Original model description:

language:

• en pipeline_tag: text-generation tags:
• esper
• esper-2
• valiant
• valiant-labs
• llama
• llama-3.2
• llama-3.2-instruct
• llama-3.2-instruct-3b
• llama-3
• llama-3-instruct
• llama-3-instruct-3b
• 3b
• code
• code-instruct
• python
• dev-ops
• terraform
• azure
• aws
• gcp
• architect
• engineer
• developer
• conversational
• chat
• instruct base_model: meta-llama/Llama-3.2-3B-Instruct datasets:
• sequelbox/Titanium
• sequelbox/Tachibana
• sequelbox/Supernova model-index:
• name: ValiantLabs/Llama3.2-3B-Esper2 results:
  • task: type: text-generation name: Text Generation dataset: name: Winogrande (5-Shot) type: Winogrande args: num_few_shot: 5 metrics:
    • type: acc value: 65.27 name: acc
  • task: type: text-generation name: Text Generation dataset: name: ARC Challenge (25-Shot) type: arc-challenge args: num_few_shot: 25 metrics:
    • type: acc_norm value: 43.17 name: normalized accuracy model_type: llama license: llama3.2

---

Esper 2 is a DevOps and cloud architecture code specialist built on Llama 3.2 3b.

• Expertise-driven, an AI assistant focused on AWS, Azure, GCP, Terraform, Dockerfiles, pipelines, shell scripts and more!
• Real world problem solving and high quality code instruct performance within the Llama 3.2 Instruct chat format
• Finetuned on synthetic DevOps-instruct and code-instruct data generated with Llama 3.1 405b.
• Overall chat performance supplemented with generalist chat data.

Try our code-instruct AI assistant Enigma!

Version

This is the 2024-10-03 release of Esper 2 for Llama 3.2 3b.

Esper 2 is also available for Llama 3.1 8b!

Esper 2 will be coming to more model sizes soon :)

Prompting Guide

Esper 2 uses the Llama 3.2 Instruct prompt format. The example script below can be used as a starting point for general chat:

import transformers
import torch

model_id = "ValiantLabs/Llama3.2-3B-Esper2"

pipeline = transformers.pipeline(
    "text-generation",
    model=model_id,
    model_kwargs={"torch_dtype": torch.bfloat16},
    device_map="auto",
)

messages = [
    {"role": "system", "content": "You are an AI assistant."},
    {"role": "user", "content": "Hi, how do I optimize the size of a Docker image?"}
]

outputs = pipeline(
    messages,
    max_new_tokens=2048,
)

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

The Model

Esper 2 is built on top of Llama 3.2 3b Instruct, improving performance through high quality DevOps, code, and chat data in Llama 3.2 Instruct prompt style.

Our current version of Esper 2 is trained on DevOps data from sequelbox/Titanium, supplemented by code-instruct data from sequelbox/Tachibana and general chat data from sequelbox/Supernova.

Esper 2 is created by Valiant Labs.

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

Follow us on X for updates on our models!

We care about open source. For everyone to use.

We encourage others to finetune further from our models.

Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more quants, at much higher speed, than I would otherwise be able to.