metadata

language:
  - en
pipeline_tag: text-generation
tags:
  - enigma
  - valiant
  - valiant-labs
  - llama
  - llama-3.1
  - llama-3.1-instruct
  - llama-3.1-instruct-8b
  - llama-3
  - llama-3-instruct
  - llama-3-instruct-8b
  - 8b
  - code
  - code-instruct
  - python
  - conversational
  - chat
  - instruct
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
datasets:
  - sequelbox/Tachibana
  - sequelbox/Supernova
model_type: llama
license: llama3.1

Description

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

Files Provided

Name	Quant	Bits	File Size	Remark
llama3.1-8b-enigma.Q2_K.gguf	Q2_K	2	3.18 GB	2.96G, +3.5199 ppl @ Llama-3-8B
llama3.1-8b-enigma.Q3_K.gguf	Q3_K	3	4.02 GB	3.74G, +0.6569 ppl @ Llama-3-8B
llama3.1-8b-enigma.Q4_0.gguf	Q4_0	4	4.66 GB	4.34G, +0.4685 ppl @ Llama-3-8B
llama3.1-8b-enigma.Q4_K.gguf	Q4_K	4	4.92 GB	4.58G, +0.1754 ppl @ Llama-3-8B
llama3.1-8b-enigma.Q5_K.gguf	Q5_K	5	5.73 GB	5.33G, +0.0569 ppl @ Llama-3-8B
llama3.1-8b-enigma.Q6_K.gguf	Q6_K	6	6.60 GB	6.14G, +0.0217 ppl @ Llama-3-8B
llama3.1-8b-enigma.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-Enigma	llama	LlamaForCausalLM	500000.0	null	131072

Original Model Card

Enigma is a code-instruct model built on Llama 3.1 8b.

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

Version

This is the 2024-09-04 release of Enigma for Llama 3.1 8b, enhancing code-instruct and general chat capabilities.

Help us and recommend Enigma to your friends! We're excited for more Enigma 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

Enigma 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-Enigma"

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

messages = [
    {"role": "system", "content": "You are Enigma, a highly capable code assistant."},
    {"role": "user", "content": "Can you explain virtualization to me?"}
]

outputs = pipeline(
    messages,
    max_new_tokens=1024,
)

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

The Model

Enigma is built on top of Llama 3.1 8b Instruct, using high quality code-instruct data and general chat data in Llama 3.1 Instruct prompt style to supplement overall performance.

Our current version of Enigma is trained on code-instruct data from sequelbox/Tachibana and general chat data from sequelbox/Supernova.

Enigma 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.