NeuralReyna-Mini-1.8B-v0.3-GGUF/README.md

---
base_model: M4-ai/NeuralReyna-Mini-1.8B-v0.3
datasets:
- argilla/OpenHermes2.5-dpo-binarized-alpha
- Locutusque/Hercules-v3.0
inference: false
language:
- en
license: apache-2.0
model-index:
- name: NeuralReyna-Mini-1.8B-v0.3
  results:
  - dataset:
      args:
        num_few_shot: 25
      config: ARC-Challenge
      name: AI2 Reasoning Challenge (25-Shot)
      split: test
      type: ai2_arc
    metrics:
    - name: normalized accuracy
      type: acc_norm
      value: 35.58
    source:
      name: Open LLM Leaderboard
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=M4-ai/NeuralReyna-Mini-1.8B-v0.3
    task:
      name: Text Generation
      type: text-generation
  - dataset:
      args:
        num_few_shot: 10
      name: HellaSwag (10-Shot)
      split: validation
      type: hellaswag
    metrics:
    - name: normalized accuracy
      type: acc_norm
      value: 61.13
    source:
      name: Open LLM Leaderboard
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=M4-ai/NeuralReyna-Mini-1.8B-v0.3
    task:
      name: Text Generation
      type: text-generation
  - dataset:
      args:
        num_few_shot: 5
      config: all
      name: MMLU (5-Shot)
      split: test
      type: cais/mmlu
    metrics:
    - name: accuracy
      type: acc
      value: 44.22
    source:
      name: Open LLM Leaderboard
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=M4-ai/NeuralReyna-Mini-1.8B-v0.3
    task:
      name: Text Generation
      type: text-generation
  - dataset:
      args:
        num_few_shot: 0
      config: multiple_choice
      name: TruthfulQA (0-shot)
      split: validation
      type: truthful_qa
    metrics:
    - type: mc2
      value: 41.99
    source:
      name: Open LLM Leaderboard
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=M4-ai/NeuralReyna-Mini-1.8B-v0.3
    task:
      name: Text Generation
      type: text-generation
  - dataset:
      args:
        num_few_shot: 5
      config: winogrande_xl
      name: Winogrande (5-shot)
      split: validation
      type: winogrande
    metrics:
    - name: accuracy
      type: acc
      value: 60.93
    source:
      name: Open LLM Leaderboard
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=M4-ai/NeuralReyna-Mini-1.8B-v0.3
    task:
      name: Text Generation
      type: text-generation
  - dataset:
      args:
        num_few_shot: 5
      config: main
      name: GSM8k (5-shot)
      split: test
      type: gsm8k
    metrics:
    - name: accuracy
      type: acc
      value: 6.75
    source:
      name: Open LLM Leaderboard
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=M4-ai/NeuralReyna-Mini-1.8B-v0.3
    task:
      name: Text Generation
      type: text-generation
model_creator: M4-ai
model_name: NeuralReyna-Mini-1.8B-v0.3
pipeline_tag: text-generation
quantized_by: afrideva
tags:
- gguf
- ggml
- quantized
- q2_k
- q3_k_m
- q4_k_m
- q5_k_m
- q6_k
- q8_0
---
# M4-ai/NeuralReyna-Mini-1.8B-v0.3-GGUF

Quantized GGUF model files for [NeuralReyna-Mini-1.8B-v0.3](https://huggingface.co/M4-ai/NeuralReyna-Mini-1.8B-v0.3) from [M4-ai](https://huggingface.co/M4-ai)


| Name | Quant method | Size |
| ---- | ---- | ---- |
| [neuralreyna-mini-1.8b-v0.3.fp16.gguf](https://huggingface.co/afrideva/NeuralReyna-Mini-1.8B-v0.3-GGUF/resolve/main/neuralreyna-mini-1.8b-v0.3.fp16.gguf) | fp16 | 3.68 GB  |
| [neuralreyna-mini-1.8b-v0.3.q2_k.gguf](https://huggingface.co/afrideva/NeuralReyna-Mini-1.8B-v0.3-GGUF/resolve/main/neuralreyna-mini-1.8b-v0.3.q2_k.gguf) | q2_k | 846.57 MB  |
| [neuralreyna-mini-1.8b-v0.3.q3_k_m.gguf](https://huggingface.co/afrideva/NeuralReyna-Mini-1.8B-v0.3-GGUF/resolve/main/neuralreyna-mini-1.8b-v0.3.q3_k_m.gguf) | q3_k_m | 1.02 GB  |
| [neuralreyna-mini-1.8b-v0.3.q4_k_m.gguf](https://huggingface.co/afrideva/NeuralReyna-Mini-1.8B-v0.3-GGUF/resolve/main/neuralreyna-mini-1.8b-v0.3.q4_k_m.gguf) | q4_k_m | 1.22 GB  |
| [neuralreyna-mini-1.8b-v0.3.q5_k_m.gguf](https://huggingface.co/afrideva/NeuralReyna-Mini-1.8B-v0.3-GGUF/resolve/main/neuralreyna-mini-1.8b-v0.3.q5_k_m.gguf) | q5_k_m | 1.38 GB  |
| [neuralreyna-mini-1.8b-v0.3.q6_k.gguf](https://huggingface.co/afrideva/NeuralReyna-Mini-1.8B-v0.3-GGUF/resolve/main/neuralreyna-mini-1.8b-v0.3.q6_k.gguf) | q6_k | 1.58 GB  |
| [neuralreyna-mini-1.8b-v0.3.q8_0.gguf](https://huggingface.co/afrideva/NeuralReyna-Mini-1.8B-v0.3-GGUF/resolve/main/neuralreyna-mini-1.8b-v0.3.q8_0.gguf) | q8_0 | 1.96 GB  |



## Original Model Card:
# NeuralReyna-Mini-1.8B-v0.3
![Reyna image](https://th.bing.com/th/id/OIG3.8IBxuT77hh6Y_r1DZ6WK?dpr=2.6&pid=ImgDetMain)
# Description
Taken aloobun/Reyna-Mini-1.8B-v0.2 and further fine-tuned it using DPO using the argilla/OpenHermes2.5-dpo-binarized-alpha. 

This model has capabilities in coding, math, science, roleplay, and function calling. 

This model was trained on OpenAI's ChatML prompt format.
# Evaluation
Coming soon

# Contributions

Thanks to @aloobun and @Locutusque for their contributions to this model. 
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_M4-ai__NeuralReyna-Mini-1.8B-v0.3)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |41.77|
|AI2 Reasoning Challenge (25-Shot)|35.58|
|HellaSwag (10-Shot)              |61.13|
|MMLU (5-Shot)                    |44.22|
|TruthfulQA (0-shot)              |41.99|
|Winogrande (5-shot)              |60.93|
|GSM8k (5-shot)                   | 6.75|