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README.md

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+---
+language:
+- en
+license: apache-2.0
+tags:
+- bees
+- bzz
+- honey
+- oprah winfrey
+- llama-cpp
+- gguf-my-repo
+base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
+datasets:
+- BEE-spoke-data/bees-internal
+metrics:
+- accuracy
+inference:
+  parameters:
+    max_new_tokens: 64
+    do_sample: true
+    renormalize_logits: true
+    repetition_penalty: 1.05
+    no_repeat_ngram_size: 6
+    temperature: 0.9
+    top_p: 0.95
+    epsilon_cutoff: 0.0008
+widget:
+- text: In beekeeping, the term "queen excluder" refers to
+  example_title: Queen Excluder
+- text: One way to encourage a honey bee colony to produce more honey is by
+  example_title: Increasing Honey Production
+- text: The lifecycle of a worker bee consists of several stages, starting with
+  example_title: Lifecycle of a Worker Bee
+- text: Varroa destructor is a type of mite that
+  example_title: Varroa Destructor
+- text: In the world of beekeeping, the acronym PPE stands for
+  example_title: Beekeeping PPE
+- text: The term "robbing" in beekeeping refers to the act of
+  example_title: Robbing in Beekeeping
+- text: 'Question: What''s the primary function of drone bees in a hive?
+
+    Answer:'
+  example_title: Role of Drone Bees
+- text: To harvest honey from a hive, beekeepers often use a device known as a
+  example_title: Honey Harvesting Device
+- text: 'Problem: You have a hive that produces 60 pounds of honey per year. You decide
+    to split the hive into two. Assuming each hive now produces at a 70% rate compared
+    to before, how much honey will you get from both hives next year?
+
+    To calculate'
+  example_title: Beekeeping Math Problem
+- text: In beekeeping, "swarming" is the process where
+  example_title: Swarming
+pipeline_tag: text-generation
+model-index:
+- name: TinyLlama-3T-1.1bee
+  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: 33.79
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=BEE-spoke-data/TinyLlama-3T-1.1bee
+      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: 60.29
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=BEE-spoke-data/TinyLlama-3T-1.1bee
+      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: 25.86
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=BEE-spoke-data/TinyLlama-3T-1.1bee
+      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: 38.13
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=BEE-spoke-data/TinyLlama-3T-1.1bee
+      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: 60.22
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=BEE-spoke-data/TinyLlama-3T-1.1bee
+      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: 0.45
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=BEE-spoke-data/TinyLlama-3T-1.1bee
+      name: Open LLM Leaderboard
+---
+
+# DavidAU/TinyLlama-3T-1.1bee-Q8_0-GGUF
+This model was converted to GGUF format from [`BEE-spoke-data/TinyLlama-3T-1.1bee`](https://huggingface.co/BEE-spoke-data/TinyLlama-3T-1.1bee) 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/BEE-spoke-data/TinyLlama-3T-1.1bee) 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/TinyLlama-3T-1.1bee-Q8_0-GGUF --model tinyllama-3t-1.1bee.Q8_0.gguf -p "The meaning to life and the universe is"
+```
+
+Server:
+
+```bash
+llama-server --hf-repo DavidAU/TinyLlama-3T-1.1bee-Q8_0-GGUF --model tinyllama-3t-1.1bee.Q8_0.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 tinyllama-3t-1.1bee.Q8_0.gguf -n 128
+```