# Locutusque/LocutusqueXFelladrin-TinyMistral248M-Instruct-GGUF

Quantized GGUF model files for [LocutusqueXFelladrin-TinyMistral248M-Instruct](https://huggingface.co/Locutusque/LocutusqueXFelladrin-TinyMistral248M-Instruct) from [Locutusque](https://huggingface.co/Locutusque)


| Name | Quant method | Size |
| ---- | ---- | ---- |
| [locutusquexfelladrin-tinymistral248m-instruct.fp16.gguf](https://huggingface.co/afrideva/LocutusqueXFelladrin-TinyMistral248M-Instruct-GGUF/resolve/main/locutusquexfelladrin-tinymistral248m-instruct.fp16.gguf) | fp16 | 497.76 MB  |
| [locutusquexfelladrin-tinymistral248m-instruct.q2_k.gguf](https://huggingface.co/afrideva/LocutusqueXFelladrin-TinyMistral248M-Instruct-GGUF/resolve/main/locutusquexfelladrin-tinymistral248m-instruct.q2_k.gguf) | q2_k | 116.20 MB  |
| [locutusquexfelladrin-tinymistral248m-instruct.q3_k_m.gguf](https://huggingface.co/afrideva/LocutusqueXFelladrin-TinyMistral248M-Instruct-GGUF/resolve/main/locutusquexfelladrin-tinymistral248m-instruct.q3_k_m.gguf) | q3_k_m | 131.01 MB  |
| [locutusquexfelladrin-tinymistral248m-instruct.q4_k_m.gguf](https://huggingface.co/afrideva/LocutusqueXFelladrin-TinyMistral248M-Instruct-GGUF/resolve/main/locutusquexfelladrin-tinymistral248m-instruct.q4_k_m.gguf) | q4_k_m | 156.61 MB  |
| [locutusquexfelladrin-tinymistral248m-instruct.q5_k_m.gguf](https://huggingface.co/afrideva/LocutusqueXFelladrin-TinyMistral248M-Instruct-GGUF/resolve/main/locutusquexfelladrin-tinymistral248m-instruct.q5_k_m.gguf) | q5_k_m | 180.17 MB  |
| [locutusquexfelladrin-tinymistral248m-instruct.q6_k.gguf](https://huggingface.co/afrideva/LocutusqueXFelladrin-TinyMistral248M-Instruct-GGUF/resolve/main/locutusquexfelladrin-tinymistral248m-instruct.q6_k.gguf) | q6_k | 205.20 MB  |
| [locutusquexfelladrin-tinymistral248m-instruct.q8_0.gguf](https://huggingface.co/afrideva/LocutusqueXFelladrin-TinyMistral248M-Instruct-GGUF/resolve/main/locutusquexfelladrin-tinymistral248m-instruct.q8_0.gguf) | q8_0 | 265.26 MB  |



## Original Model Card:
# LocutusqueXFelladrin-TinyMistral248M-Instruct
This model was created by merging Locutusque/TinyMistral-248M-Instruct and Felladrin/TinyMistral-248M-SFT-v4 using mergekit. After the two models were merged, the resulting model was further trained on ~20,000 examples on the Locutusque/inst_mix_v2_top_100k at a low learning rate to further normalize weights. The following is the YAML config used to merge:

```yaml
models:
  - model: Felladrin/TinyMistral-248M-SFT-v4
    parameters:
      weight: 0.5
  - model: Locutusque/TinyMistral-248M-Instruct
    parameters:
      weight: 1.0
merge_method: linear
dtype: float16
```

The resulting model combines the best of both worlds. With Locutusque/TinyMistral-248M-Instruct's coding capabilities and reasoning skills, and Felladrin/TinyMistral-248M-SFT-v4's low hallucination and instruction-following capabilities. The resulting model has an incredible performance considering its size.

## Evaluation
Coming soon...
{"language": ["en"], "license": "apache-2.0", "tags": ["gguf", "ggml", "quantized", "q2_k", "q3_k_m", "q4_k_m", "q5_k_m", "q6_k", "q8_0"], "datasets": ["Locutusque/inst_mix_v2_top_100k"], "model_name": "LocutusqueXFelladrin-TinyMistral248M-Instruct", "base_model": "Locutusque/LocutusqueXFelladrin-TinyMistral248M-Instruct", "inference": false, "model_creator": "Locutusque", "pipeline_tag": "text-generation", "quantized_by": "afrideva", "widget": [{"text": "<|USER|> Design a Neo4j database and Cypher function snippet to Display Extreme Dental hygiene: Using Mouthwash for Analysis for Beginners. Implement if/else or switch/case statements to handle different conditions related to the Consent. Provide detailed comments explaining your control flow and the reasoning behind each decision. <|ASSISTANT|> "}, {"text": "<|USER|> Write me a story about a magical place. <|ASSISTANT|> "}, {"text": "<|USER|> Write me an essay about the life of George Washington <|ASSISTANT|> "}, {"text": "<|USER|> Solve the following equation 2x + 10 = 20 <|ASSISTANT|> "}, {"text": "<|USER|> Craft me a list of some nice places to visit around the world. <|ASSISTANT|> "}, {"text": "<|USER|> How to manage a lazy employee: Address the employee verbally. Don't allow an employee's laziness or lack of enthusiasm to become a recurring issue. Tell the employee you're hoping to speak with them about workplace expectations and performance, and schedule a time to sit down together. Question: To manage a lazy employee, it is suggested to talk to the employee. True, False, or Neither? <|ASSISTANT|> "}]}
gguf ggml quantized q2_k q3_k_m q4_k_m q5_k_m q6_k q8_0 text-generation en dataset:Locutusque/inst_mix_v2_top_100k base_model:Locutusque/LocutusqueXFelladrin-TinyMistral248M-Instruct license:apache-2.0 region:us