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README.md

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+Quantization made by Richard Erkhov.
+
+[Github](https://github.com/RichardErkhov)
+
+[Discord](https://discord.gg/pvy7H8DZMG)
+
+[Request more models](https://github.com/RichardErkhov/quant_request)
+
+
+gemma-2b-zephyr-sft - GGUF
+- Model creator: https://huggingface.co/Columbia-NLP/
+- Original model: https://huggingface.co/Columbia-NLP/gemma-2b-zephyr-sft/
+
+
+| Name | Quant method | Size |
+| ---- | ---- | ---- |
+| [gemma-2b-zephyr-sft.Q2_K.gguf](https://huggingface.co/RichardErkhov/Columbia-NLP_-_gemma-2b-zephyr-sft-gguf/blob/main/gemma-2b-zephyr-sft.Q2_K.gguf) | Q2_K | 1.08GB |
+| [gemma-2b-zephyr-sft.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/Columbia-NLP_-_gemma-2b-zephyr-sft-gguf/blob/main/gemma-2b-zephyr-sft.IQ3_XS.gguf) | IQ3_XS | 1.16GB |
+| [gemma-2b-zephyr-sft.IQ3_S.gguf](https://huggingface.co/RichardErkhov/Columbia-NLP_-_gemma-2b-zephyr-sft-gguf/blob/main/gemma-2b-zephyr-sft.IQ3_S.gguf) | IQ3_S | 1.2GB |
+| [gemma-2b-zephyr-sft.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/Columbia-NLP_-_gemma-2b-zephyr-sft-gguf/blob/main/gemma-2b-zephyr-sft.Q3_K_S.gguf) | Q3_K_S | 1.2GB |
+| [gemma-2b-zephyr-sft.IQ3_M.gguf](https://huggingface.co/RichardErkhov/Columbia-NLP_-_gemma-2b-zephyr-sft-gguf/blob/main/gemma-2b-zephyr-sft.IQ3_M.gguf) | IQ3_M | 1.22GB |
+| [gemma-2b-zephyr-sft.Q3_K.gguf](https://huggingface.co/RichardErkhov/Columbia-NLP_-_gemma-2b-zephyr-sft-gguf/blob/main/gemma-2b-zephyr-sft.Q3_K.gguf) | Q3_K | 1.29GB |
+| [gemma-2b-zephyr-sft.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/Columbia-NLP_-_gemma-2b-zephyr-sft-gguf/blob/main/gemma-2b-zephyr-sft.Q3_K_M.gguf) | Q3_K_M | 1.29GB |
+| [gemma-2b-zephyr-sft.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/Columbia-NLP_-_gemma-2b-zephyr-sft-gguf/blob/main/gemma-2b-zephyr-sft.Q3_K_L.gguf) | Q3_K_L | 1.36GB |
+| [gemma-2b-zephyr-sft.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/Columbia-NLP_-_gemma-2b-zephyr-sft-gguf/blob/main/gemma-2b-zephyr-sft.IQ4_XS.gguf) | IQ4_XS | 1.4GB |
+| [gemma-2b-zephyr-sft.Q4_0.gguf](https://huggingface.co/RichardErkhov/Columbia-NLP_-_gemma-2b-zephyr-sft-gguf/blob/main/gemma-2b-zephyr-sft.Q4_0.gguf) | Q4_0 | 1.44GB |
+| [gemma-2b-zephyr-sft.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/Columbia-NLP_-_gemma-2b-zephyr-sft-gguf/blob/main/gemma-2b-zephyr-sft.IQ4_NL.gguf) | IQ4_NL | 1.45GB |
+| [gemma-2b-zephyr-sft.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/Columbia-NLP_-_gemma-2b-zephyr-sft-gguf/blob/main/gemma-2b-zephyr-sft.Q4_K_S.gguf) | Q4_K_S | 1.45GB |
+| [gemma-2b-zephyr-sft.Q4_K.gguf](https://huggingface.co/RichardErkhov/Columbia-NLP_-_gemma-2b-zephyr-sft-gguf/blob/main/gemma-2b-zephyr-sft.Q4_K.gguf) | Q4_K | 1.52GB |
+| [gemma-2b-zephyr-sft.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/Columbia-NLP_-_gemma-2b-zephyr-sft-gguf/blob/main/gemma-2b-zephyr-sft.Q4_K_M.gguf) | Q4_K_M | 1.52GB |
+| [gemma-2b-zephyr-sft.Q4_1.gguf](https://huggingface.co/RichardErkhov/Columbia-NLP_-_gemma-2b-zephyr-sft-gguf/blob/main/gemma-2b-zephyr-sft.Q4_1.gguf) | Q4_1 | 1.56GB |
+| [gemma-2b-zephyr-sft.Q5_0.gguf](https://huggingface.co/RichardErkhov/Columbia-NLP_-_gemma-2b-zephyr-sft-gguf/blob/main/gemma-2b-zephyr-sft.Q5_0.gguf) | Q5_0 | 1.68GB |
+| [gemma-2b-zephyr-sft.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/Columbia-NLP_-_gemma-2b-zephyr-sft-gguf/blob/main/gemma-2b-zephyr-sft.Q5_K_S.gguf) | Q5_K_S | 1.68GB |
+| [gemma-2b-zephyr-sft.Q5_K.gguf](https://huggingface.co/RichardErkhov/Columbia-NLP_-_gemma-2b-zephyr-sft-gguf/blob/main/gemma-2b-zephyr-sft.Q5_K.gguf) | Q5_K | 1.71GB |
+| [gemma-2b-zephyr-sft.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/Columbia-NLP_-_gemma-2b-zephyr-sft-gguf/blob/main/gemma-2b-zephyr-sft.Q5_K_M.gguf) | Q5_K_M | 1.71GB |
+| [gemma-2b-zephyr-sft.Q5_1.gguf](https://huggingface.co/RichardErkhov/Columbia-NLP_-_gemma-2b-zephyr-sft-gguf/blob/main/gemma-2b-zephyr-sft.Q5_1.gguf) | Q5_1 | 1.79GB |
+| [gemma-2b-zephyr-sft.Q6_K.gguf](https://huggingface.co/RichardErkhov/Columbia-NLP_-_gemma-2b-zephyr-sft-gguf/blob/main/gemma-2b-zephyr-sft.Q6_K.gguf) | Q6_K | 1.92GB |
+| [gemma-2b-zephyr-sft.Q8_0.gguf](https://huggingface.co/RichardErkhov/Columbia-NLP_-_gemma-2b-zephyr-sft-gguf/blob/main/gemma-2b-zephyr-sft.Q8_0.gguf) | Q8_0 | 2.49GB |
+
+
+
+
+Original model description:
+---
+license: other
+license_name: gemma-terms-of-use
+license_link: https://ai.google.dev/gemma/terms
+base_model: google/gemma-2b
+tags:
+- alignment-handbook
+- trl
+- sft
+- generated_from_trainer
+datasets:
+- HuggingFaceH4/deita-10k-v0-sft
+model-index:
+- name: gemma-2b-zephyr-sft
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: AI2 Reasoning Challenge (25-Shot)
+      type: ai2_arc
+      config: ARC-Challenge
+      split: test
+      args:
+        num_few_shot: 25
+    metrics:
+    - type: acc_norm
+      value: 51.88
+      name: normalized accuracy
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: HellaSwag (10-Shot)
+      type: hellaswag
+      split: validation
+      args:
+        num_few_shot: 10
+    metrics:
+    - type: acc_norm
+      value: 72.63
+      name: normalized accuracy
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU (5-Shot)
+      type: cais/mmlu
+      config: all
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 42.20
+      name: accuracy
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: TruthfulQA (0-shot)
+      type: truthful_qa
+      config: multiple_choice
+      split: validation
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: mc2
+      value: 41.96
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: Winogrande (5-shot)
+      type: winogrande
+      config: winogrande_xl
+      split: validation
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 63.85
+      name: accuracy
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GSM8k (5-shot)
+      type: gsm8k
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 20.09
+      name: accuracy
+---
+
+# Model Card for Gemma 2B Zephyr SFT
+
+We trained the [google/gemma-2b](https://huggingface.co/google/gemma-2b) with [deita-10k-v0-sft](https://huggingface.co/datasets/HuggingFaceH4/deita-10k-v0-sft).
+We carefully selected the hyper-parameters and masked the user tokens during training to achieve the best supervised fine-tuning performance.
+
+## Model description
+
+- **Model type:** A 2.5B parameter GPT-like model fine-tuned on a mix of publicly available, synthetic datasets.
+- **Language(s) (NLP):** Primarily English
+- **License:** Gemma Terms of Use
+- **Finetuned from model:** [google/gemma-2b](https://huggingface.co/google/gemma-2b)
+
+
+## License
+This model has the same license as the [original Gemma model collection](https://ai.google.dev/gemma/terms)
+
+## OpenLLM Leaderboard Performance
+
+| Models                                  | Avg. | ARC   | HellaSwag | MMLU | TruthfulQA | Winogrande | GSM8k |
+|-----------------------------------------|------|-------|-----------|------|------------|------------|-------|
+| google/gemma-2b                         | 46.37| 48.38 | 71.77     | 41.77| 33.08      | 66.77      | 16.91 |
+| google/gemma-2b-it                      | 42.75| 43.94 | 62.70     | 37.65| 45.82      | 60.93      | 5.46 |
+| wandb/gemma-2b-zephyr-sft               | 47.18| 49.74 | 72.38     | 41.37| 34.42      | 66.93      | 18.27 |
+| wandb/gemma-2b-zephyr-dpo               | 46.92| 49.66 | 72.23     | 41.13| 34.47      | 66.54      | 17.51 |
+| **Columbia-NLP/gemma-2b-zephyr-sft**    | 48.75| 51.80 | 72.63     | 42.20| 41.96      | 63.85      | 20.09 |
+| Columbia-NLP/gemma-2b-zephyr-dpo        | 49.14| 52.22 | 73.11     | 42.55| 42.64      | 64.40      | 19.94 |
+
+
+## MT-Bench
+
+GPT-4-0125-preview as Judge
+
+| Model                                    | Total | Coding | Extraction | Humanities | Math | Reasoning | Roleplay | STEM | Writing |
+|------------------------------------------|-------|--------|------------|------------|------|-----------|----------|------|---------|
+| google/gemma-2b-it                       | 4.71  | 2.95   | 4.35       | 6.15       | 2.90 | 3.50      | 5.60     | 5.50 | 6.70    |
+| wandb/gemma-2b-zephyr-sft                | 4.03  | 3.10   | 3.15       | 5.00       | 2.70 | 2.65      | 5.10     | 4.80 | 5.75    |
+| wandb/gemma-2b-zephyr-dpo                | 4.06  | 2.80   | 2.90       | 5.55       | 2.65 | 2.70      | 5.20     | 4.80 | 5.85    |
+| **Columbia-NLP/gemma-2b-zephyr-sft**     | 4.34  | 3.10   | 3.70       | 6.25       | 2.65 | 2.70      | 5.55     | 5.25 | 5.50    |
+| Columbia-NLP/gemma-2b-zephyr-dpo         | 4.75  | 3.50   | 4.05       | 6.75       | 3.30 | 3.70      | 5.85     | 5.40 | 5.53    |
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