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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)
+
+
+smol_llama-220M-openhermes - GGUF
+- Model creator: https://huggingface.co/BEE-spoke-data/
+- Original model: https://huggingface.co/BEE-spoke-data/smol_llama-220M-openhermes/
+
+
+| Name | Quant method | Size |
+| ---- | ---- | ---- |
+| [smol_llama-220M-openhermes.Q2_K.gguf](https://huggingface.co/RichardErkhov/BEE-spoke-data_-_smol_llama-220M-openhermes-gguf/blob/main/smol_llama-220M-openhermes.Q2_K.gguf) | Q2_K | 0.09GB |
+| [smol_llama-220M-openhermes.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/BEE-spoke-data_-_smol_llama-220M-openhermes-gguf/blob/main/smol_llama-220M-openhermes.IQ3_XS.gguf) | IQ3_XS | 0.1GB |
+| [smol_llama-220M-openhermes.IQ3_S.gguf](https://huggingface.co/RichardErkhov/BEE-spoke-data_-_smol_llama-220M-openhermes-gguf/blob/main/smol_llama-220M-openhermes.IQ3_S.gguf) | IQ3_S | 0.1GB |
+| [smol_llama-220M-openhermes.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/BEE-spoke-data_-_smol_llama-220M-openhermes-gguf/blob/main/smol_llama-220M-openhermes.Q3_K_S.gguf) | Q3_K_S | 0.1GB |
+| [smol_llama-220M-openhermes.IQ3_M.gguf](https://huggingface.co/RichardErkhov/BEE-spoke-data_-_smol_llama-220M-openhermes-gguf/blob/main/smol_llama-220M-openhermes.IQ3_M.gguf) | IQ3_M | 0.1GB |
+| [smol_llama-220M-openhermes.Q3_K.gguf](https://huggingface.co/RichardErkhov/BEE-spoke-data_-_smol_llama-220M-openhermes-gguf/blob/main/smol_llama-220M-openhermes.Q3_K.gguf) | Q3_K | 0.11GB |
+| [smol_llama-220M-openhermes.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/BEE-spoke-data_-_smol_llama-220M-openhermes-gguf/blob/main/smol_llama-220M-openhermes.Q3_K_M.gguf) | Q3_K_M | 0.11GB |
+| [smol_llama-220M-openhermes.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/BEE-spoke-data_-_smol_llama-220M-openhermes-gguf/blob/main/smol_llama-220M-openhermes.Q3_K_L.gguf) | Q3_K_L | 0.11GB |
+| [smol_llama-220M-openhermes.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/BEE-spoke-data_-_smol_llama-220M-openhermes-gguf/blob/main/smol_llama-220M-openhermes.IQ4_XS.gguf) | IQ4_XS | 0.12GB |
+| [smol_llama-220M-openhermes.Q4_0.gguf](https://huggingface.co/RichardErkhov/BEE-spoke-data_-_smol_llama-220M-openhermes-gguf/blob/main/smol_llama-220M-openhermes.Q4_0.gguf) | Q4_0 | 0.12GB |
+| [smol_llama-220M-openhermes.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/BEE-spoke-data_-_smol_llama-220M-openhermes-gguf/blob/main/smol_llama-220M-openhermes.IQ4_NL.gguf) | IQ4_NL | 0.12GB |
+| [smol_llama-220M-openhermes.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/BEE-spoke-data_-_smol_llama-220M-openhermes-gguf/blob/main/smol_llama-220M-openhermes.Q4_K_S.gguf) | Q4_K_S | 0.12GB |
+| [smol_llama-220M-openhermes.Q4_K.gguf](https://huggingface.co/RichardErkhov/BEE-spoke-data_-_smol_llama-220M-openhermes-gguf/blob/main/smol_llama-220M-openhermes.Q4_K.gguf) | Q4_K | 0.13GB |
+| [smol_llama-220M-openhermes.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/BEE-spoke-data_-_smol_llama-220M-openhermes-gguf/blob/main/smol_llama-220M-openhermes.Q4_K_M.gguf) | Q4_K_M | 0.13GB |
+| [smol_llama-220M-openhermes.Q4_1.gguf](https://huggingface.co/RichardErkhov/BEE-spoke-data_-_smol_llama-220M-openhermes-gguf/blob/main/smol_llama-220M-openhermes.Q4_1.gguf) | Q4_1 | 0.13GB |
+| [smol_llama-220M-openhermes.Q5_0.gguf](https://huggingface.co/RichardErkhov/BEE-spoke-data_-_smol_llama-220M-openhermes-gguf/blob/main/smol_llama-220M-openhermes.Q5_0.gguf) | Q5_0 | 0.14GB |
+| [smol_llama-220M-openhermes.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/BEE-spoke-data_-_smol_llama-220M-openhermes-gguf/blob/main/smol_llama-220M-openhermes.Q5_K_S.gguf) | Q5_K_S | 0.14GB |
+| [smol_llama-220M-openhermes.Q5_K.gguf](https://huggingface.co/RichardErkhov/BEE-spoke-data_-_smol_llama-220M-openhermes-gguf/blob/main/smol_llama-220M-openhermes.Q5_K.gguf) | Q5_K | 0.15GB |
+| [smol_llama-220M-openhermes.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/BEE-spoke-data_-_smol_llama-220M-openhermes-gguf/blob/main/smol_llama-220M-openhermes.Q5_K_M.gguf) | Q5_K_M | 0.15GB |
+| [smol_llama-220M-openhermes.Q5_1.gguf](https://huggingface.co/RichardErkhov/BEE-spoke-data_-_smol_llama-220M-openhermes-gguf/blob/main/smol_llama-220M-openhermes.Q5_1.gguf) | Q5_1 | 0.16GB |
+| [smol_llama-220M-openhermes.Q6_K.gguf](https://huggingface.co/RichardErkhov/BEE-spoke-data_-_smol_llama-220M-openhermes-gguf/blob/main/smol_llama-220M-openhermes.Q6_K.gguf) | Q6_K | 0.17GB |
+| [smol_llama-220M-openhermes.Q8_0.gguf](https://huggingface.co/RichardErkhov/BEE-spoke-data_-_smol_llama-220M-openhermes-gguf/blob/main/smol_llama-220M-openhermes.Q8_0.gguf) | Q8_0 | 0.22GB |
+
+
+
+
+Original model description:
+---
+license: apache-2.0
+datasets:
+- teknium/openhermes
+base_model: BEE-spoke-data/smol_llama-220M-GQA
+inference:
+  parameters:
+    do_sample: true
+    renormalize_logits: true
+    temperature: 0.25
+    top_p: 0.95
+    top_k: 50
+    min_new_tokens: 2
+    max_new_tokens: 96
+    repetition_penalty: 1.03
+    no_repeat_ngram_size: 5
+    epsilon_cutoff: 0.0008
+widget:
+- text: "Below is an instruction that describes a task, paired with an input that\
+    \ provides further context. Write a response that appropriately completes the\
+    \ request.  \n   \n### Instruction:  \n  \nWrite an ode to Chipotle burritos.\
+    \ \n  \n### Response:  \n"
+  example_title: burritos
+model-index:
+- name: smol_llama-220M-openhermes
+  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: 25.17
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=BEE-spoke-data/smol_llama-220M-openhermes
+      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: 28.98
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=BEE-spoke-data/smol_llama-220M-openhermes
+      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: 26.17
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=BEE-spoke-data/smol_llama-220M-openhermes
+      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: 43.08
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=BEE-spoke-data/smol_llama-220M-openhermes
+      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: 52.01
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=BEE-spoke-data/smol_llama-220M-openhermes
+      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: 0.61
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=BEE-spoke-data/smol_llama-220M-openhermes
+      name: Open LLM Leaderboard
+---
+
+
+# BEE-spoke-data/smol_llama-220M-openhermes
+
+> Please note that this is an experiment, and the model has limitations because it is smol.
+
+
+prompt format is alpaca
+
+
+```
+Below is an instruction that describes a task, paired with an input that
+provides further context. Write a response that appropriately completes
+the request.  
+
+### Instruction:  
+
+How can I increase my meme production/output? Currently, I only create them in ancient babylonian which is time consuming.  
+
+### Inputs:
+
+### Response:
+```
+
+It was trained on inputs so if you have inputs (like some text to ask a question about) then include it under `### Inputs:`
+
+
+## Example
+
+Output on the text above ^. The inference API is set to sample with low temp so you should see (_at least slightly_) different generations each time.
+
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/60bccec062080d33f875cd0c/0nFP2jsBkritnryKmI8NV.png)
+
+Note that the inference API parameters used here are an initial educated guess, and may be updated over time:
+
+```yml
+inference:
+  parameters:
+    do_sample: true
+    renormalize_logits: true
+    temperature: 0.25
+    top_p: 0.95
+    top_k: 50
+    min_new_tokens: 2
+    max_new_tokens: 96
+    repetition_penalty: 1.03
+    no_repeat_ngram_size: 5
+    epsilon_cutoff: 0.0008
+```
+
+Feel free to experiment with the parameters using the model in Python and let us know if you have improved results with other params!
+
+## Data 
+
+Note that **this checkpoint** was fine-tuned on `teknium/openhermes`, which is generated/synthetic data by an OpenAI model. This means usage of this checkpoint should follow their terms of use: https://openai.com/policies/terms-of-use  
+
+
+---
+
+# [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_BEE-spoke-data__smol_llama-220M-openhermes)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |29.34|
+|AI2 Reasoning Challenge (25-Shot)|25.17|
+|HellaSwag (10-Shot)              |28.98|
+|MMLU (5-Shot)                    |26.17|
+|TruthfulQA (0-shot)              |43.08|
+|Winogrande (5-shot)              |52.01|
+|GSM8k (5-shot)                   | 0.61|
+
+
+