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--- |
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base_model: M4-ai/NeuralReyna-Mini-1.8B-v0.3 |
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datasets: |
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- argilla/OpenHermes2.5-dpo-binarized-alpha |
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- Locutusque/Hercules-v3.0 |
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inference: false |
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language: |
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- en |
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license: apache-2.0 |
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model-index: |
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- name: NeuralReyna-Mini-1.8B-v0.3 |
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results: |
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- dataset: |
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args: |
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num_few_shot: 25 |
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config: ARC-Challenge |
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name: AI2 Reasoning Challenge (25-Shot) |
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split: test |
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type: ai2_arc |
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metrics: |
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- name: normalized accuracy |
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type: acc_norm |
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value: 35.58 |
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source: |
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name: Open LLM Leaderboard |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=M4-ai/NeuralReyna-Mini-1.8B-v0.3 |
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task: |
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name: Text Generation |
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type: text-generation |
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- dataset: |
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args: |
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num_few_shot: 10 |
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name: HellaSwag (10-Shot) |
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split: validation |
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type: hellaswag |
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metrics: |
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- name: normalized accuracy |
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type: acc_norm |
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value: 61.13 |
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source: |
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name: Open LLM Leaderboard |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=M4-ai/NeuralReyna-Mini-1.8B-v0.3 |
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task: |
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name: Text Generation |
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type: text-generation |
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- dataset: |
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args: |
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num_few_shot: 5 |
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config: all |
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name: MMLU (5-Shot) |
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split: test |
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type: cais/mmlu |
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metrics: |
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- name: accuracy |
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type: acc |
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value: 44.22 |
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source: |
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name: Open LLM Leaderboard |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=M4-ai/NeuralReyna-Mini-1.8B-v0.3 |
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task: |
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name: Text Generation |
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type: text-generation |
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- dataset: |
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args: |
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num_few_shot: 0 |
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config: multiple_choice |
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name: TruthfulQA (0-shot) |
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split: validation |
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type: truthful_qa |
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metrics: |
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- type: mc2 |
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value: 41.99 |
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source: |
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name: Open LLM Leaderboard |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=M4-ai/NeuralReyna-Mini-1.8B-v0.3 |
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task: |
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name: Text Generation |
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type: text-generation |
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- dataset: |
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args: |
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num_few_shot: 5 |
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config: winogrande_xl |
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name: Winogrande (5-shot) |
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split: validation |
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type: winogrande |
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metrics: |
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- name: accuracy |
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type: acc |
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value: 60.93 |
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source: |
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name: Open LLM Leaderboard |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=M4-ai/NeuralReyna-Mini-1.8B-v0.3 |
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task: |
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name: Text Generation |
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type: text-generation |
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- dataset: |
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args: |
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num_few_shot: 5 |
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config: main |
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name: GSM8k (5-shot) |
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split: test |
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type: gsm8k |
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metrics: |
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- name: accuracy |
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type: acc |
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value: 6.75 |
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source: |
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name: Open LLM Leaderboard |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=M4-ai/NeuralReyna-Mini-1.8B-v0.3 |
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task: |
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name: Text Generation |
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type: text-generation |
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model_creator: M4-ai |
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model_name: NeuralReyna-Mini-1.8B-v0.3 |
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pipeline_tag: text-generation |
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quantized_by: afrideva |
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tags: |
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- gguf |
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- ggml |
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- quantized |
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- q2_k |
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- q3_k_m |
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- q4_k_m |
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- q5_k_m |
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- q6_k |
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- q8_0 |
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--- |
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# M4-ai/NeuralReyna-Mini-1.8B-v0.3-GGUF |
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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) |
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| Name | Quant method | Size | |
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| ---- | ---- | ---- | |
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| [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 | |
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| [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 | |
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| [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 | |
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| [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 | |
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| [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 | |
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| [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 | |
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| [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 | |
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## Original Model Card: |
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# NeuralReyna-Mini-1.8B-v0.3 |
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![Reyna image](https://th.bing.com/th/id/OIG3.8IBxuT77hh6Y_r1DZ6WK?dpr=2.6&pid=ImgDetMain) |
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# Description |
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Taken aloobun/Reyna-Mini-1.8B-v0.2 and further fine-tuned it using DPO using the argilla/OpenHermes2.5-dpo-binarized-alpha. |
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This model has capabilities in coding, math, science, roleplay, and function calling. |
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This model was trained on OpenAI's ChatML prompt format. |
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# Evaluation |
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Coming soon |
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# Contributions |
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Thanks to @aloobun and @Locutusque for their contributions to this model. |
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_M4-ai__NeuralReyna-Mini-1.8B-v0.3) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |41.77| |
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|AI2 Reasoning Challenge (25-Shot)|35.58| |
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|HellaSwag (10-Shot) |61.13| |
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|MMLU (5-Shot) |44.22| |
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|TruthfulQA (0-shot) |41.99| |
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|Winogrande (5-shot) |60.93| |
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|GSM8k (5-shot) | 6.75| |