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README.md

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+---
+language:
+- en
+license: apache-2.0
+tags:
+- edu
+- continual pretraining
+- llama-cpp
+- gguf-my-repo
+base_model: BEE-spoke-data/smol_llama-220M-GQA-fineweb_edu
+datasets:
+- HuggingFaceFW/fineweb-edu
+metrics:
+- accuracy
+inference:
+  parameters:
+    max_new_tokens: 64
+    do_sample: true
+    temperature: 0.8
+    repetition_penalty: 1.05
+    no_repeat_ngram_size: 4
+    eta_cutoff: 0.0006
+    renormalize_logits: true
+widget:
+- text: My name is El Microondas the Wise, and
+  example_title: El Microondas
+- text: Kennesaw State University is a public
+  example_title: Kennesaw State University
+- text: Bungie Studios is an American video game developer. They are most famous for
+    developing the award winning Halo series of video games. They also made Destiny.
+    The studio was founded
+  example_title: Bungie
+- text: The Mona Lisa is a world-renowned painting created by
+  example_title: Mona Lisa
+- text: The Harry Potter series, written by J.K. Rowling, begins with the book titled
+  example_title: Harry Potter Series
+- text: 'Question: I have cities, but no houses. I have mountains, but no trees. I
+    have water, but no fish. What am I?
+
+    Answer:'
+  example_title: Riddle
+- text: The process of photosynthesis involves the conversion of
+  example_title: Photosynthesis
+- text: Jane went to the store to buy some groceries. She picked up apples, oranges,
+    and a loaf of bread. When she got home, she realized she forgot
+  example_title: Story Continuation
+- text: 'Problem 2: If a train leaves Station A at 9:00 AM and travels at 60 mph,
+    and another train leaves Station B at 10:00 AM and travels at 80 mph, when will
+    they meet if the distance between the stations is 300 miles?
+
+    To determine'
+  example_title: Math Problem
+- text: In the context of computer programming, an algorithm is
+  example_title: Algorithm Definition
+pipeline_tag: text-generation
+model-index:
+- name: smol_llama-220M-GQA-fineweb_edu
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: IFEval (0-Shot)
+      type: HuggingFaceH4/ifeval
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: inst_level_strict_acc and prompt_level_strict_acc
+      value: 19.88
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=BEE-spoke-data/smol_llama-220M-GQA-fineweb_edu
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: BBH (3-Shot)
+      type: BBH
+      args:
+        num_few_shot: 3
+    metrics:
+    - type: acc_norm
+      value: 2.31
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=BEE-spoke-data/smol_llama-220M-GQA-fineweb_edu
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MATH Lvl 5 (4-Shot)
+      type: hendrycks/competition_math
+      args:
+        num_few_shot: 4
+    metrics:
+    - type: exact_match
+      value: 0.0
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=BEE-spoke-data/smol_llama-220M-GQA-fineweb_edu
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GPQA (0-shot)
+      type: Idavidrein/gpqa
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 1.23
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=BEE-spoke-data/smol_llama-220M-GQA-fineweb_edu
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MuSR (0-shot)
+      type: TAUR-Lab/MuSR
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 14.26
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=BEE-spoke-data/smol_llama-220M-GQA-fineweb_edu
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU-PRO (5-shot)
+      type: TIGER-Lab/MMLU-Pro
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 1.41
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=BEE-spoke-data/smol_llama-220M-GQA-fineweb_edu
+      name: Open LLM Leaderboard
+---
+
+# mattritchey/smol_llama-220M-GQA-fineweb_edu-Q4_K_M-GGUF
+This model was converted to GGUF format from [`BEE-spoke-data/smol_llama-220M-GQA-fineweb_edu`](https://huggingface.co/BEE-spoke-data/smol_llama-220M-GQA-fineweb_edu) 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/smol_llama-220M-GQA-fineweb_edu) for more details on the model.
+
+## Use with llama.cpp
+Install llama.cpp through brew (works on Mac and Linux)
+
+```bash
+brew install llama.cpp
+
+```
+Invoke the llama.cpp server or the CLI.
+
+### CLI:
+```bash
+llama-cli --hf-repo mattritchey/smol_llama-220M-GQA-fineweb_edu-Q4_K_M-GGUF --hf-file smol_llama-220m-gqa-fineweb_edu-q4_k_m.gguf -p "The meaning to life and the universe is"
+```
+
+### Server:
+```bash
+llama-server --hf-repo mattritchey/smol_llama-220M-GQA-fineweb_edu-Q4_K_M-GGUF --hf-file smol_llama-220m-gqa-fineweb_edu-q4_k_m.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.
+
+Step 1: Clone llama.cpp from GitHub.
+```
+git clone https://github.com/ggerganov/llama.cpp
+```
+
+Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
+```
+cd llama.cpp && LLAMA_CURL=1 make
+```
+
+Step 3: Run inference through the main binary.
+```
+./llama-cli --hf-repo mattritchey/smol_llama-220M-GQA-fineweb_edu-Q4_K_M-GGUF --hf-file smol_llama-220m-gqa-fineweb_edu-q4_k_m.gguf -p "The meaning to life and the universe is"
+```
+or 
+```
+./llama-server --hf-repo mattritchey/smol_llama-220M-GQA-fineweb_edu-Q4_K_M-GGUF --hf-file smol_llama-220m-gqa-fineweb_edu-q4_k_m.gguf -c 2048
+```