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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)
+
+
+Deacon-1b - GGUF
+- Model creator: https://huggingface.co/KnutJaegersberg/
+- Original model: https://huggingface.co/KnutJaegersberg/Deacon-1b/
+
+
+| Name | Quant method | Size |
+| ---- | ---- | ---- |
+| [Deacon-1b.Q2_K.gguf](https://huggingface.co/RichardErkhov/KnutJaegersberg_-_Deacon-1b-gguf/blob/main/Deacon-1b.Q2_K.gguf) | Q2_K | 0.4GB |
+| [Deacon-1b.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/KnutJaegersberg_-_Deacon-1b-gguf/blob/main/Deacon-1b.IQ3_XS.gguf) | IQ3_XS | 0.44GB |
+| [Deacon-1b.IQ3_S.gguf](https://huggingface.co/RichardErkhov/KnutJaegersberg_-_Deacon-1b-gguf/blob/main/Deacon-1b.IQ3_S.gguf) | IQ3_S | 0.47GB |
+| [Deacon-1b.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/KnutJaegersberg_-_Deacon-1b-gguf/blob/main/Deacon-1b.Q3_K_S.gguf) | Q3_K_S | 0.47GB |
+| [Deacon-1b.IQ3_M.gguf](https://huggingface.co/RichardErkhov/KnutJaegersberg_-_Deacon-1b-gguf/blob/main/Deacon-1b.IQ3_M.gguf) | IQ3_M | 0.48GB |
+| [Deacon-1b.Q3_K.gguf](https://huggingface.co/RichardErkhov/KnutJaegersberg_-_Deacon-1b-gguf/blob/main/Deacon-1b.Q3_K.gguf) | Q3_K | 0.51GB |
+| [Deacon-1b.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/KnutJaegersberg_-_Deacon-1b-gguf/blob/main/Deacon-1b.Q3_K_M.gguf) | Q3_K_M | 0.51GB |
+| [Deacon-1b.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/KnutJaegersberg_-_Deacon-1b-gguf/blob/main/Deacon-1b.Q3_K_L.gguf) | Q3_K_L | 0.55GB |
+| [Deacon-1b.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/KnutJaegersberg_-_Deacon-1b-gguf/blob/main/Deacon-1b.IQ4_XS.gguf) | IQ4_XS | 0.57GB |
+| [Deacon-1b.Q4_0.gguf](https://huggingface.co/RichardErkhov/KnutJaegersberg_-_Deacon-1b-gguf/blob/main/Deacon-1b.Q4_0.gguf) | Q4_0 | 0.59GB |
+| [Deacon-1b.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/KnutJaegersberg_-_Deacon-1b-gguf/blob/main/Deacon-1b.IQ4_NL.gguf) | IQ4_NL | 0.6GB |
+| [Deacon-1b.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/KnutJaegersberg_-_Deacon-1b-gguf/blob/main/Deacon-1b.Q4_K_S.gguf) | Q4_K_S | 0.6GB |
+| [Deacon-1b.Q4_K.gguf](https://huggingface.co/RichardErkhov/KnutJaegersberg_-_Deacon-1b-gguf/blob/main/Deacon-1b.Q4_K.gguf) | Q4_K | 0.62GB |
+| [Deacon-1b.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/KnutJaegersberg_-_Deacon-1b-gguf/blob/main/Deacon-1b.Q4_K_M.gguf) | Q4_K_M | 0.62GB |
+| [Deacon-1b.Q4_1.gguf](https://huggingface.co/RichardErkhov/KnutJaegersberg_-_Deacon-1b-gguf/blob/main/Deacon-1b.Q4_1.gguf) | Q4_1 | 0.65GB |
+| [Deacon-1b.Q5_0.gguf](https://huggingface.co/RichardErkhov/KnutJaegersberg_-_Deacon-1b-gguf/blob/main/Deacon-1b.Q5_0.gguf) | Q5_0 | 0.71GB |
+| [Deacon-1b.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/KnutJaegersberg_-_Deacon-1b-gguf/blob/main/Deacon-1b.Q5_K_S.gguf) | Q5_K_S | 0.71GB |
+| [Deacon-1b.Q5_K.gguf](https://huggingface.co/RichardErkhov/KnutJaegersberg_-_Deacon-1b-gguf/blob/main/Deacon-1b.Q5_K.gguf) | Q5_K | 0.73GB |
+| [Deacon-1b.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/KnutJaegersberg_-_Deacon-1b-gguf/blob/main/Deacon-1b.Q5_K_M.gguf) | Q5_K_M | 0.73GB |
+| [Deacon-1b.Q5_1.gguf](https://huggingface.co/RichardErkhov/KnutJaegersberg_-_Deacon-1b-gguf/blob/main/Deacon-1b.Q5_1.gguf) | Q5_1 | 0.77GB |
+| [Deacon-1b.Q6_K.gguf](https://huggingface.co/RichardErkhov/KnutJaegersberg_-_Deacon-1b-gguf/blob/main/Deacon-1b.Q6_K.gguf) | Q6_K | 0.84GB |
+| [Deacon-1b.Q8_0.gguf](https://huggingface.co/RichardErkhov/KnutJaegersberg_-_Deacon-1b-gguf/blob/main/Deacon-1b.Q8_0.gguf) | Q8_0 | 1.09GB |
+
+
+
+
+Original model description:
+---
+license: cc-by-nc-4.0
+model-index:
+- name: Deacon-1b
+  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: 32.42
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=KnutJaegersberg/Deacon-1b
+      name: Open LLM Leaderboard
+  - 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: 58.62
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=KnutJaegersberg/Deacon-1b
+      name: Open LLM Leaderboard
+  - 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: 24.89
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=KnutJaegersberg/Deacon-1b
+      name: Open LLM Leaderboard
+  - 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: 35.05
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=KnutJaegersberg/Deacon-1b
+      name: Open LLM Leaderboard
+  - 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: 59.59
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=KnutJaegersberg/Deacon-1b
+      name: Open LLM Leaderboard
+  - 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: 0.68
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=KnutJaegersberg/Deacon-1b
+      name: Open LLM Leaderboard
+---
+
+Base model is appvoid/palmer-001, fine tuned for 3 epochs with Neftune. 
+
+Prompt Example:
+```
+### System:
+
+You are an AI assistant. User will give you a task. Your goal is to complete the task as faithfully as you can. While performing the task think step-by-step and justify your steps.
+
+### Instruction: 
+
+How do you fine tune a large language model? 
+
+### Response:
+```
+# [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_KnutJaegersberg__Deacon-1b)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |35.21|
+|AI2 Reasoning Challenge (25-Shot)|32.42|
+|HellaSwag (10-Shot)              |58.62|
+|MMLU (5-Shot)                    |24.89|
+|TruthfulQA (0-shot)              |35.05|
+|Winogrande (5-shot)              |59.59|
+|GSM8k (5-shot)                   | 0.68|
+
+
+