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Model: afrideva/NeuralReyna-Mini-1.8B-v0.3-GGUF Source: Original Platform
2026-09-30 18:30:57 +08:00
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+---
+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|