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.gitattributes

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README.md

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+---
+widget:
+- messages:
+  - role: system
+    content: You are a career counselor. The user will provide you with an individual
+      looking for guidance in their professional life, and your task is to assist
+      them in determining what careers they are most suited for based on their skills,
+      interests, and experience. You should also conduct research into the various
+      options available, explain the job market trends in different industries, and
+      advice on which qualifications would be beneficial for pursuing particular fields.
+  - role: user
+    content: Hey friend!
+  - role: assistant
+    content: Hi! How may I help you?
+  - role: user
+    content: I am interested in developing a career in software engineering. What
+      would you recommend me to do?
+- messages:
+  - role: system
+    content: You are a knowledgeable assistant. Help the user as much as you can.
+  - role: user
+    content: How to become smarter?
+- messages:
+  - role: system
+    content: You are a helpful assistant who provides concise responses.
+  - role: user
+    content: Hi!
+  - role: assistant
+    content: Hello there! How may I help you?
+  - role: user
+    content: I need to cook a simple dinner. What ingredients should I prepare for?
+- messages:
+  - role: system
+    content: You are a very creative assistant. User will give you a task, which you
+      should complete with all your knowledge.
+  - role: user
+    content: Write the novel story of an RPG game about group of survivor post apocalyptic
+      world.
+inference:
+  parameters:
+    max_new_tokens: 256
+    temperature: 0.6
+    top_p: 0.95
+    top_k: 50
+    repetition_penalty: 1.2
+base_model: frankenmerger/MiniLlama-1.8b-Chat-v0.1
+license: apache-2.0
+language:
+- en
+pipeline_tag: text-generation
+datasets:
+- Locutusque/Hercules-v3.0
+- Locutusque/hyperion-v2.0
+- argilla/OpenHermes2.5-dpo-binarized-alpha
+tags:
+- TensorBlock
+- GGUF
+---
+
+<div style="width: auto; margin-left: auto; margin-right: auto">
+<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
+</div>
+<div style="display: flex; justify-content: space-between; width: 100%;">
+    <div style="display: flex; flex-direction: column; align-items: flex-start;">
+        <p style="margin-top: 0.5em; margin-bottom: 0em;">
+            Feedback and support: TensorBlock's  <a href="https://x.com/tensorblock_aoi">Twitter/X</a>, <a href="https://t.me/TensorBlock">Telegram Group</a> and <a href="https://x.com/tensorblock_aoi">Discord server</a>
+        </p>
+    </div>
+</div>
+
+## frankenmerger/MiniLlama-1.8b-Chat-v0.1 - GGUF
+
+This repo contains GGUF format model files for [frankenmerger/MiniLlama-1.8b-Chat-v0.1](https://huggingface.co/frankenmerger/MiniLlama-1.8b-Chat-v0.1).
+
+The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4242](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
+
+<div style="text-align: left; margin: 20px 0;">
+    <a href="https://tensorblock.co/waitlist/client" style="display: inline-block; padding: 10px 20px; background-color: #007bff; color: white; text-decoration: none; border-radius: 5px; font-weight: bold;">
+        Run them on the TensorBlock client using your local machine ↗
+    </a>
+</div>
+
+## Prompt template
+
+```
+<|system|>
+{system_prompt}</s>
+<|user|>
+{prompt}</s>
+<|assistant|>
+```
+
+## Model file specification
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [MiniLlama-1.8b-Chat-v0.1-Q2_K.gguf](https://huggingface.co/tensorblock/MiniLlama-1.8b-Chat-v0.1-GGUF/blob/main/MiniLlama-1.8b-Chat-v0.1-Q2_K.gguf) | Q2_K | 0.724 GB | smallest, significant quality loss - not recommended for most purposes |
+| [MiniLlama-1.8b-Chat-v0.1-Q3_K_S.gguf](https://huggingface.co/tensorblock/MiniLlama-1.8b-Chat-v0.1-GGUF/blob/main/MiniLlama-1.8b-Chat-v0.1-Q3_K_S.gguf) | Q3_K_S | 0.840 GB | very small, high quality loss |
+| [MiniLlama-1.8b-Chat-v0.1-Q3_K_M.gguf](https://huggingface.co/tensorblock/MiniLlama-1.8b-Chat-v0.1-GGUF/blob/main/MiniLlama-1.8b-Chat-v0.1-Q3_K_M.gguf) | Q3_K_M | 0.930 GB | very small, high quality loss |
+| [MiniLlama-1.8b-Chat-v0.1-Q3_K_L.gguf](https://huggingface.co/tensorblock/MiniLlama-1.8b-Chat-v0.1-GGUF/blob/main/MiniLlama-1.8b-Chat-v0.1-Q3_K_L.gguf) | Q3_K_L | 1.008 GB | small, substantial quality loss |
+| [MiniLlama-1.8b-Chat-v0.1-Q4_0.gguf](https://huggingface.co/tensorblock/MiniLlama-1.8b-Chat-v0.1-GGUF/blob/main/MiniLlama-1.8b-Chat-v0.1-Q4_0.gguf) | Q4_0 | 1.083 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [MiniLlama-1.8b-Chat-v0.1-Q4_K_S.gguf](https://huggingface.co/tensorblock/MiniLlama-1.8b-Chat-v0.1-GGUF/blob/main/MiniLlama-1.8b-Chat-v0.1-Q4_K_S.gguf) | Q4_K_S | 1.090 GB | small, greater quality loss |
+| [MiniLlama-1.8b-Chat-v0.1-Q4_K_M.gguf](https://huggingface.co/tensorblock/MiniLlama-1.8b-Chat-v0.1-GGUF/blob/main/MiniLlama-1.8b-Chat-v0.1-Q4_K_M.gguf) | Q4_K_M | 1.145 GB | medium, balanced quality - recommended |
+| [MiniLlama-1.8b-Chat-v0.1-Q5_0.gguf](https://huggingface.co/tensorblock/MiniLlama-1.8b-Chat-v0.1-GGUF/blob/main/MiniLlama-1.8b-Chat-v0.1-Q5_0.gguf) | Q5_0 | 1.311 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [MiniLlama-1.8b-Chat-v0.1-Q5_K_S.gguf](https://huggingface.co/tensorblock/MiniLlama-1.8b-Chat-v0.1-GGUF/blob/main/MiniLlama-1.8b-Chat-v0.1-Q5_K_S.gguf) | Q5_K_S | 1.311 GB | large, low quality loss - recommended |
+| [MiniLlama-1.8b-Chat-v0.1-Q5_K_M.gguf](https://huggingface.co/tensorblock/MiniLlama-1.8b-Chat-v0.1-GGUF/blob/main/MiniLlama-1.8b-Chat-v0.1-Q5_K_M.gguf) | Q5_K_M | 1.343 GB | large, very low quality loss - recommended |
+| [MiniLlama-1.8b-Chat-v0.1-Q6_K.gguf](https://huggingface.co/tensorblock/MiniLlama-1.8b-Chat-v0.1-GGUF/blob/main/MiniLlama-1.8b-Chat-v0.1-Q6_K.gguf) | Q6_K | 1.554 GB | very large, extremely low quality loss |
+| [MiniLlama-1.8b-Chat-v0.1-Q8_0.gguf](https://huggingface.co/tensorblock/MiniLlama-1.8b-Chat-v0.1-GGUF/blob/main/MiniLlama-1.8b-Chat-v0.1-Q8_0.gguf) | Q8_0 | 2.012 GB | very large, extremely low quality loss - not recommended |
+
+
+## Downloading instruction
+
+### Command line
+
+Firstly, install Huggingface Client
+
+```shell
+pip install -U "huggingface_hub[cli]"
+```
+
+Then, downoad the individual model file the a local directory
+
+```shell
+huggingface-cli download tensorblock/MiniLlama-1.8b-Chat-v0.1-GGUF --include "MiniLlama-1.8b-Chat-v0.1-Q2_K.gguf" --local-dir MY_LOCAL_DIR
+```
+
+If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:
+
+```shell
+huggingface-cli download tensorblock/MiniLlama-1.8b-Chat-v0.1-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```