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--- |
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widget: |
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- messages: |
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- role: system |
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content: You are a career counselor. The user will provide you with an individual |
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looking for guidance in their professional life, and your task is to assist |
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them in determining what careers they are most suited for based on their skills, |
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interests, and experience. You should also conduct research into the various |
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options available, explain the job market trends in different industries, and |
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advice on which qualifications would be beneficial for pursuing particular fields. |
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- role: user |
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content: Hey friend! |
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- role: assistant |
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content: Hi! How may I help you? |
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- role: user |
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content: I am interested in developing a career in software engineering. What |
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would you recommend me to do? |
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- messages: |
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- role: system |
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content: You are a knowledgeable assistant. Help the user as much as you can. |
|
- role: user |
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content: How to become smarter? |
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- messages: |
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- role: system |
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content: You are a helpful assistant who provides concise responses. |
|
- role: user |
|
content: Hi! |
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- role: assistant |
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content: Hello there! How may I help you? |
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- role: user |
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content: I need to cook a simple dinner. What ingredients should I prepare for? |
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- messages: |
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- role: system |
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content: You are a very creative assistant. User will give you a task, which you |
|
should complete with all your knowledge. |
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- role: user |
|
content: Write the novel story of an RPG game about group of survivor post apocalyptic |
|
world. |
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inference: |
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parameters: |
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max_new_tokens: 256 |
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temperature: 0.6 |
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top_p: 0.95 |
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top_k: 50 |
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repetition_penalty: 1.2 |
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base_model: frankenmerger/MiniLlama-1.8b-Chat-v0.1 |
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license: apache-2.0 |
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language: |
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- en |
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pipeline_tag: text-generation |
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datasets: |
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- Locutusque/Hercules-v3.0 |
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- Locutusque/hyperion-v2.0 |
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- argilla/OpenHermes2.5-dpo-binarized-alpha |
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tags: |
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- TensorBlock |
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- GGUF |
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--- |
|
|
|
<div style="width: auto; margin-left: auto; margin-right: auto"> |
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<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;"> |
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</div> |
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<div style="display: flex; justify-content: space-between; width: 100%;"> |
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<div style="display: flex; flex-direction: column; align-items: flex-start;"> |
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<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> |
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</p> |
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</div> |
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</div> |
|
|
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## frankenmerger/MiniLlama-1.8b-Chat-v0.1 - GGUF |
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|
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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). |
|
|
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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). |
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|
|
<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 ↗ |
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</a> |
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</div> |
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|
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## Prompt template |
|
|
|
``` |
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<|system|> |
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{system_prompt}</s> |
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<|user|> |
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{prompt}</s> |
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<|assistant|> |
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``` |
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|
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## 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 | |
|
|
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## 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' |
|
``` |
|
|
