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README.md

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+---
+license: cc-by-nc-4.0
+tags:
+- merge
+- conversational
+- multi-task
+- llama-cpp
+- gguf-my-repo
+base_model:
+- paulml/OmniBeagleSquaredMBX-v3-7B
+- ZySec-AI/ZySec-7B-v1
+- liminerity/Omningotex-7b-slerp
+- localfultonextractor/Erosumika-7B
+- KatyTheCutie/LemonadeRP-4.5.3
+- cgato/Thespis-Krangled-7b
+- CorticalStack/pastiche-crown-clown-7b-dare
+- snorkelai/Snorkel-Mistral-PairRM-DPO
+- MTSAIR/multi_verse_model
+pipeline_tag: text-generation
+model-index:
+- name: winter-garden-7b-alpha - "Smart Assistant"
+  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: 65.19
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=maldv/winter-garden-7b-alpha
+      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: 85.36
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=maldv/winter-garden-7b-alpha
+      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: 65.2
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=maldv/winter-garden-7b-alpha
+      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: 50.94
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=maldv/winter-garden-7b-alpha
+      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: 80.35
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=maldv/winter-garden-7b-alpha
+      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: 54.44
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=maldv/winter-garden-7b-alpha
+      name: Open LLM Leaderboard
+---
+
+# DavidAU/winter-garden-7b-alpha-Q6_K-GGUF
+This model was converted to GGUF format from [`maldv/winter-garden-7b-alpha`](https://huggingface.co/maldv/winter-garden-7b-alpha) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
+Refer to the [original model card](https://huggingface.co/maldv/winter-garden-7b-alpha) for more details on the model.
+## Use with llama.cpp
+
+Install llama.cpp through brew.
+
+```bash
+brew install ggerganov/ggerganov/llama.cpp
+```
+Invoke the llama.cpp server or the CLI.
+
+CLI:
+
+```bash
+llama-cli --hf-repo DavidAU/winter-garden-7b-alpha-Q6_K-GGUF --model winter-garden-7b-alpha.Q6_K.gguf -p "The meaning to life and the universe is"
+```
+
+Server:
+
+```bash
+llama-server --hf-repo DavidAU/winter-garden-7b-alpha-Q6_K-GGUF --model winter-garden-7b-alpha.Q6_K.gguf -c 2048
+```
+
+Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
+
+```
+git clone https://github.com/ggerganov/llama.cpp &&             cd llama.cpp &&             make &&             ./main -m winter-garden-7b-alpha.Q6_K.gguf -n 128
+```