RichardErkhov/harborwater_-_open-llama-3b-v2-wizard-evol-instuct-v2-196k-gguf

Quantization made by Richard Erkhov.

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open-llama-3b-v2-wizard-evol-instuct-v2-196k - GGUF

• —Model creator: https://huggingface.co/harborwater/
• —Original model: https://huggingface.co/harborwater/open-llama-3b-v2-wizard-evol-instuct-v2-196k/

Original model description: --- language:

• —en license: apache-2.0 library_name: transformers datasets:
• —WizardLM/WizardLMevolinstructV2196k model-index:
• —name: open-llama-3b-v2-wizard-evol-instuct-v2-196k results:
• —task: type: text-generation name: Text Generation dataset: name: AI2 Reasoning Challenge (25-Shot) type: ai2arc config: ARC-Challenge split: test args: numfew_shot: 25 metrics:
• —type: accnorm value: 41.81 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllm_leaderboard?query=harborwater/open-llama-3b-v2-wizard-evol-instuct-v2-196k name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: HellaSwag (10-Shot) type: hellaswag split: validation args: numfewshot: 10 metrics:
• —type: accnorm value: 73.01 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllm_leaderboard?query=harborwater/open-llama-3b-v2-wizard-evol-instuct-v2-196k name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: MMLU (5-Shot) type: cais/mmlu config: all split: test args: numfewshot: 5 metrics:
• —type: acc value: 26.36 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=harborwater/open-llama-3b-v2-wizard-evol-instuct-v2-196k name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: TruthfulQA (0-shot) type: truthfulqa config: multiplechoice split: validation args: numfewshot: 0 metrics:
• —type: mc2 value: 38.99 source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=harborwater/open-llama-3b-v2-wizard-evol-instuct-v2-196k name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: Winogrande (5-shot) type: winogrande config: winograndexl split: validation args: numfew_shot: 5 metrics:
• —type: acc value: 66.69 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=harborwater/open-llama-3b-v2-wizard-evol-instuct-v2-196k name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: GSM8k (5-shot) type: gsm8k config: main split: test args: numfewshot: 5 metrics:
• —type: acc value: 1.9 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=harborwater/open-llama-3b-v2-wizard-evol-instuct-v2-196k name: Open LLM Leaderboard ---

Trained on 1 epoch of the WizardLMevolinstructv2196k dataset

Link to GGUF formats.

Prompt template:

### HUMAN:
{prompt}

### RESPONSE:
<leave a newline for the model to answer>

<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>

Open LLM Leaderboard Evaluation Results

Detailed results can be found here