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README.md

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+
+---
+
+language:
+- en
+pipeline_tag: text-generation
+tags:
+- esper
+- esper-2
+- 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
+- dev-ops
+- terraform
+- azure
+- aws
+- gcp
+- architect
+- engineer
+- developer
+- conversational
+- chat
+- instruct
+base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
+datasets:
+- sequelbox/Titanium
+- sequelbox/Tachibana
+- sequelbox/Supernova
+model_type: llama
+model-index:
+- name: ValiantLabs/Llama3.1-8B-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: 75.85
+      name: acc
+license: llama3.1
+
+---
+
+[![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)](https://hf.co/QuantFactory)
+
+
+# QuantFactory/Llama3.1-8B-Esper2-GGUF
+This is quantized version of [ValiantLabs/Llama3.1-8B-Esper2](https://huggingface.co/ValiantLabs/Llama3.1-8B-Esper2) created using llama.cpp
+
+# Original Model Card
+
+
+
+![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/64f267a8a4f79a118e0fcc89/4I6oK8DG0so4VD8GroFsd.jpeg)
+
+
+Esper 2 is a DevOps and cloud architecture code specialist built on Llama 3.1 8b.
+- 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 3.1 Instruct chat format
+- Finetuned on synthetic [DevOps-instruct](https://huggingface.co/datasets/sequelbox/Titanium) and [code-instruct](https://huggingface.co/datasets/sequelbox/Tachibana) data generated with Llama 3.1 405b.
+- Overall chat performance supplemented with [generalist chat data.](https://huggingface.co/datasets/sequelbox/Supernova)
+
+Try our code-instruct AI assistant [Enigma!](https://huggingface.co/ValiantLabs/Llama3.1-8B-Enigma)
+
+
+## Version
+
+This is the **2024-10-02** release of Esper 2 for Llama 3.1 8b.
+
+Esper 2 is now available for [Llama 3.2 3b!](https://huggingface.co/ValiantLabs/Llama3.2-3B-Esper2)
+
+Esper 2 will be coming to more model sizes soon :)
+
+
+## Prompting Guide
+Esper 2 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:
+
+```python
+import transformers
+import torch
+
+model_id = "ValiantLabs/Llama3.1-8B-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 3.1 8b Instruct, improving performance through high quality DevOps, code, and chat data in Llama 3.1 Instruct prompt style.
+
+Our current version of Esper 2 is trained on DevOps data from [sequelbox/Titanium](https://huggingface.co/datasets/sequelbox/Titanium), supplemented by code-instruct data from [sequelbox/Tachibana](https://huggingface.co/datasets/sequelbox/Tachibana) and general chat data from [sequelbox/Supernova.](https://huggingface.co/datasets/sequelbox/Supernova)
+
+
+![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/63444f2687964b331809eb55/VCJ8Fmefd8cdVhXSSxJiD.jpeg)
+
+
+Esper 2 is created by [Valiant Labs.](http://valiantlabs.ca/)
+
+[Check out our HuggingFace page for Shining Valiant 2  Enigma, 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.