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RichardErkhov/
ValiantLabs_-_Llama3.1-8B-Enigma-gguf

Name: ValiantLabs_-_Llama3.1-8B-Enigma-gguf
Availability: InStock

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Llama3.1-8B-Enigma - GGUF

Model creator: https://huggingface.co/ValiantLabs/
Original model: https://huggingface.co/ValiantLabs/Llama3.1-8B-Enigma/

Name	Quant method	Size
Llama3.1-8B-Enigma.Q2_K.gguf	Q2_K	2.96GB
Llama3.1-8B-Enigma.IQ3_XS.gguf	IQ3_XS	3.28GB
Llama3.1-8B-Enigma.IQ3_S.gguf	IQ3_S	3.43GB
Llama3.1-8B-Enigma.Q3_K_S.gguf	Q3_K_S	3.41GB
Llama3.1-8B-Enigma.IQ3_M.gguf	IQ3_M	3.52GB
Llama3.1-8B-Enigma.Q3_K.gguf	Q3_K	3.74GB
Llama3.1-8B-Enigma.Q3_K_M.gguf	Q3_K_M	3.74GB
Llama3.1-8B-Enigma.Q3_K_L.gguf	Q3_K_L	4.03GB
Llama3.1-8B-Enigma.IQ4_XS.gguf	IQ4_XS	4.18GB
Llama3.1-8B-Enigma.Q4_0.gguf	Q4_0	4.34GB
Llama3.1-8B-Enigma.IQ4_NL.gguf	IQ4_NL	4.38GB
Llama3.1-8B-Enigma.Q4_K_S.gguf	Q4_K_S	4.37GB
Llama3.1-8B-Enigma.Q4_K.gguf	Q4_K	4.58GB
Llama3.1-8B-Enigma.Q4_K_M.gguf	Q4_K_M	4.58GB
Llama3.1-8B-Enigma.Q4_1.gguf	Q4_1	4.78GB
Llama3.1-8B-Enigma.Q5_0.gguf	Q5_0	5.21GB
Llama3.1-8B-Enigma.Q5_K_S.gguf	Q5_K_S	5.21GB
Llama3.1-8B-Enigma.Q5_K.gguf	Q5_K	5.34GB
Llama3.1-8B-Enigma.Q5_K_M.gguf	Q5_K_M	5.34GB
Llama3.1-8B-Enigma.Q5_1.gguf	Q5_1	5.65GB
Llama3.1-8B-Enigma.Q6_K.gguf	Q6_K	6.14GB
Llama3.1-8B-Enigma.Q8_0.gguf	Q8_0	7.95GB

Original model description:

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 datasets:
sequelbox/Tachibana
LDJnr/Pure-Dove model_type: llama license: llama3.1

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!

Version

This is the 2024-08-10 release of Enigma for Llama 3.1 8b.

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:

python``` 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 code-instruct data to supplement code-instruct performance using Llama 3.1 Instruct prompt style.

Our current version of the Enigma code-instruct dataset is [sequelbox/Tachibana](https://huggingface.co/datasets/sequelbox/Tachibana), supplemented with a small selection of data from [LDJnr/Pure-Dove](https://huggingface.co/datasets/LDJnr/Pure-Dove) for general chat consistency.


![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/63444f2687964b331809eb55/VCJ8Fmefd8cdVhXSSxJiD.jpeg)


Enigma is created by [Valiant Labs.](http://valiantlabs.ca/)

[Check out our HuggingFace page for Shining Valiant 2 and our other Build Tools models for creators!](https://huggingface.co/ValiantLabs)

[Follow us on X for updates on our models!](https://twitter.com/valiant_labs)

We care about open source.
For everyone to use.

We encourage others to finetune further from our models.

RichardErkhov/ValiantLabs_-_Llama3.1-8B-Enigma-gguf

Original model description:

Version

Prompting Guide

RichardErkhov/
ValiantLabs_-_Llama3.1-8B-Enigma-gguf