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Model: BEE-spoke-data/smol_llama-220M-openhermes Source: Original Platform
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306
README.md
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README.md
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---
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license: apache-2.0
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base_model: BEE-spoke-data/smol_llama-220M-GQA
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datasets:
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- teknium/openhermes
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inference:
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parameters:
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do_sample: true
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renormalize_logits: true
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temperature: 0.25
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top_p: 0.95
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top_k: 50
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min_new_tokens: 2
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max_new_tokens: 96
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repetition_penalty: 1.03
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no_repeat_ngram_size: 5
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epsilon_cutoff: 0.0008
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widget:
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- text: "Below is an instruction that describes a task, paired with an input that\
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\ provides further context. Write a response that appropriately completes the\
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\ request. \n \n### Instruction: \n \nWrite an ode to Chipotle burritos.\
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\ \n \n### Response: \n"
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example_title: burritos
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model-index:
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- name: smol_llama-220M-openhermes
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results:
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: AI2 Reasoning Challenge (25-Shot)
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type: ai2_arc
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config: ARC-Challenge
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split: test
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args:
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num_few_shot: 25
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metrics:
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- type: acc_norm
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value: 25.17
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=BEE-spoke-data/smol_llama-220M-openhermes
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: HellaSwag (10-Shot)
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type: hellaswag
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split: validation
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args:
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num_few_shot: 10
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metrics:
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- type: acc_norm
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value: 28.98
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=BEE-spoke-data/smol_llama-220M-openhermes
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MMLU (5-Shot)
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type: cais/mmlu
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config: all
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 26.17
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=BEE-spoke-data/smol_llama-220M-openhermes
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: TruthfulQA (0-shot)
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type: truthful_qa
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config: multiple_choice
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split: validation
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args:
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num_few_shot: 0
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metrics:
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- type: mc2
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value: 43.08
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=BEE-spoke-data/smol_llama-220M-openhermes
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: Winogrande (5-shot)
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type: winogrande
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config: winogrande_xl
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split: validation
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 52.01
|
||||
name: accuracy
|
||||
source:
|
||||
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=BEE-spoke-data/smol_llama-220M-openhermes
|
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name: Open LLM Leaderboard
|
||||
- task:
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type: text-generation
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name: Text Generation
|
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dataset:
|
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name: GSM8k (5-shot)
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type: gsm8k
|
||||
config: main
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split: test
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args:
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num_few_shot: 5
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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
|
||||
- task:
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||||
type: text-generation
|
||||
name: Text Generation
|
||||
dataset:
|
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name: IFEval (0-Shot)
|
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type: HuggingFaceH4/ifeval
|
||||
args:
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num_few_shot: 0
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metrics:
|
||||
- type: inst_level_strict_acc and prompt_level_strict_acc
|
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value: 15.55
|
||||
name: strict accuracy
|
||||
source:
|
||||
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=BEE-spoke-data/smol_llama-220M-openhermes
|
||||
name: Open LLM Leaderboard
|
||||
- task:
|
||||
type: text-generation
|
||||
name: Text Generation
|
||||
dataset:
|
||||
name: BBH (3-Shot)
|
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type: BBH
|
||||
args:
|
||||
num_few_shot: 3
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metrics:
|
||||
- type: acc_norm
|
||||
value: 3.11
|
||||
name: normalized accuracy
|
||||
source:
|
||||
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=BEE-spoke-data/smol_llama-220M-openhermes
|
||||
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
|
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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-openhermes
|
||||
name: Open LLM Leaderboard
|
||||
- task:
|
||||
type: text-generation
|
||||
name: Text Generation
|
||||
dataset:
|
||||
name: GPQA (0-shot)
|
||||
type: Idavidrein/gpqa
|
||||
args:
|
||||
num_few_shot: 0
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||||
metrics:
|
||||
- type: acc_norm
|
||||
value: 2.35
|
||||
name: acc_norm
|
||||
source:
|
||||
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=BEE-spoke-data/smol_llama-220M-openhermes
|
||||
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: 6.22
|
||||
name: acc_norm
|
||||
source:
|
||||
url: https://huggingface.co/spaces/open-llm-leaderboard/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-PRO (5-shot)
|
||||
type: TIGER-Lab/MMLU-Pro
|
||||
config: main
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||||
split: test
|
||||
args:
|
||||
num_few_shot: 5
|
||||
metrics:
|
||||
- type: acc
|
||||
value: 1.34
|
||||
name: accuracy
|
||||
source:
|
||||
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=BEE-spoke-data/smol_llama-220M-openhermes
|
||||
name: Open LLM Leaderboard
|
||||
---
|
||||
|
||||
|
||||
# BEE-spoke-data/smol_llama-220M-openhermes
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|
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> 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.
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||||
|
||||
### Instruction:
|
||||
|
||||
How can I increase my meme production/output? Currently, I only create them in ancient babylonian which is time consuming.
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|
||||
### Inputs:
|
||||
|
||||
### Response:
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||||
```
|
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|
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It was trained on inputs so if you have inputs (like some text to ask a question about) then include it under `### Inputs:`
|
||||
|
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|
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## 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.
|
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|
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|
||||
|
||||
|
||||
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!
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|
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## 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
|
||||
|
||||
|
||||
---
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||||
|
||||
# [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|
|
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|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|
|
||||
|
||||
|
||||
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
|
||||
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_BEE-spoke-data__smol_llama-220M-openhermes)
|
||||
|
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| Metric |Value|
|
||||
|-------------------|----:|
|
||||
|Avg. | 4.76|
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|IFEval (0-Shot) |15.55|
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||||
|BBH (3-Shot) | 3.11|
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|MATH Lvl 5 (4-Shot)| 0.00|
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|GPQA (0-shot) | 2.35|
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|MuSR (0-shot) | 6.22|
|
||||
|MMLU-PRO (5-shot) | 1.34|
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|
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28
config.json
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config.json
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{
|
||||
"_name_or_path": "BEE-spoke-data/smol_llama-220M-GQA",
|
||||
"architectures": [
|
||||
"LlamaForCausalLM"
|
||||
],
|
||||
"attention_bias": false,
|
||||
"attention_dropout": 0.0,
|
||||
"bos_token_id": 1,
|
||||
"eos_token_id": 2,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 1024,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 4096,
|
||||
"max_position_embeddings": 2048,
|
||||
"model_type": "llama",
|
||||
"num_attention_heads": 32,
|
||||
"num_hidden_layers": 10,
|
||||
"num_key_value_heads": 8,
|
||||
"pretraining_tp": 1,
|
||||
"rms_norm_eps": 1e-06,
|
||||
"rope_scaling": null,
|
||||
"rope_theta": 10000.0,
|
||||
"tie_word_embeddings": false,
|
||||
"torch_dtype": "bfloat16",
|
||||
"transformers_version": "4.36.2",
|
||||
"use_cache": false,
|
||||
"vocab_size": 32128
|
||||
}
|
||||
7
generation_config.json
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generation_config.json
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||||
{
|
||||
"_from_model_config": true,
|
||||
"bos_token_id": 1,
|
||||
"eos_token_id": 2,
|
||||
"transformers_version": "4.36.2",
|
||||
"use_cache": false
|
||||
}
|
||||
3
model.safetensors
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model.safetensors
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|
||||
version https://git-lfs.github.com/spec/v1
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oid sha256:d12e8930bfd9c7b4be7d0c4d2c20fede3e14d8c67813d3e22ac4fc64d4822bde
|
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size 435736840
|
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special_tokens_map.json
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special_tokens_map.json
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||||
{
|
||||
"bos_token": {
|
||||
"content": "<s>",
|
||||
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|
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|
||||
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|
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|
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|
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"eos_token": {
|
||||
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|
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|
||||
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|
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|
||||
"pad_token": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"unk_token": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
BIN
tokenizer.model
(Stored with Git LFS)
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BIN
tokenizer.model
(Stored with Git LFS)
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44
tokenizer_config.json
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tokenizer_config.json
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|
||||
{
|
||||
"add_bos_token": true,
|
||||
"add_eos_token": false,
|
||||
"added_tokens_decoder": {
|
||||
"0": {
|
||||
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|
||||
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|
||||
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|
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||||
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|
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|
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|
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|
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|
||||
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|
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|
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
"legacy": false,
|
||||
"model_max_length": 1000000000000000019884624838656,
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||||
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||||
"padding_side": "right",
|
||||
"sp_model_kwargs": {},
|
||||
"spaces_between_special_tokens": false,
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"trust_remote_code": false,
|
||||
"unk_token": "<unk>",
|
||||
"use_default_system_prompt": true,
|
||||
"use_fast": true
|
||||
}
|
||||
Reference in New Issue
Block a user