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Model: Locutusque/TinyMistral-248M-v2.5 Source: Original Platform
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277
README.md
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README.md
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---
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language:
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- en
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- code
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license: apache-2.0
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tags:
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- merge
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- computer science
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datasets:
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- open-phi/programming_books_llama
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- open-phi/textbooks
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inference:
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parameters:
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do_sample: true
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temperature: 0.2
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top_p: 0.14
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top_k: 12
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max_new_tokens: 250
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repetition_penalty: 1.15
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widget:
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- text: 'To calculate the factorial of n, we can use the following function:'
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model-index:
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- name: TinyMistral-248M-v2.5
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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: 24.57
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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=Locutusque/TinyMistral-248M-v2.5
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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:
|
||||
- type: acc_norm
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value: 27.49
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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=Locutusque/TinyMistral-248M-v2.5
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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: 23.15
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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=Locutusque/TinyMistral-248M-v2.5
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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: 46.72
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/TinyMistral-248M-v2.5
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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: 47.83
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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=Locutusque/TinyMistral-248M-v2.5
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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: GSM8k (5-shot)
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type: gsm8k
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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
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||||
value: 0.0
|
||||
name: accuracy
|
||||
source:
|
||||
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/TinyMistral-248M-v2.5
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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: IFEval (0-Shot)
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type: HuggingFaceH4/ifeval
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args:
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num_few_shot: 0
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metrics:
|
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- type: inst_level_strict_acc and prompt_level_strict_acc
|
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value: 13.36
|
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name: strict accuracy
|
||||
source:
|
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Locutusque/TinyMistral-248M-v2.5
|
||||
name: Open LLM Leaderboard
|
||||
- task:
|
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type: text-generation
|
||||
name: Text Generation
|
||||
dataset:
|
||||
name: BBH (3-Shot)
|
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type: BBH
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||||
args:
|
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num_few_shot: 3
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metrics:
|
||||
- type: acc_norm
|
||||
value: 3.18
|
||||
name: normalized accuracy
|
||||
source:
|
||||
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Locutusque/TinyMistral-248M-v2.5
|
||||
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=Locutusque/TinyMistral-248M-v2.5
|
||||
name: Open LLM Leaderboard
|
||||
- task:
|
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type: text-generation
|
||||
name: Text Generation
|
||||
dataset:
|
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name: GPQA (0-shot)
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type: Idavidrein/gpqa
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args:
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num_few_shot: 0
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metrics:
|
||||
- type: acc_norm
|
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value: 0.11
|
||||
name: acc_norm
|
||||
source:
|
||||
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Locutusque/TinyMistral-248M-v2.5
|
||||
name: Open LLM Leaderboard
|
||||
- task:
|
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type: text-generation
|
||||
name: Text Generation
|
||||
dataset:
|
||||
name: MuSR (0-shot)
|
||||
type: TAUR-Lab/MuSR
|
||||
args:
|
||||
num_few_shot: 0
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||||
metrics:
|
||||
- type: acc_norm
|
||||
value: 5.07
|
||||
name: acc_norm
|
||||
source:
|
||||
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Locutusque/TinyMistral-248M-v2.5
|
||||
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: 1.5
|
||||
name: accuracy
|
||||
source:
|
||||
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Locutusque/TinyMistral-248M-v2.5
|
||||
name: Open LLM Leaderboard
|
||||
---
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||||
# TinyMistral-248M-v2.5
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This model was created by merging TinyMistral-248M-v1 and v2, then further pretraining on synthetic textbooks. The resulting model's performance is superior to both, after personal evaluation.
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During training, this model reached an average perplexity score of 4, outperforming V1 by nearly 7x, and V2 by 4x.
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|
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You can use the following config to reproduce the merged model:
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|
||||
```
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base_model: Locutusque/TinyMistral-248M-v2
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dtype: float16
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merge_method: ties
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||||
parameters:
|
||||
int8_mask: 1.0
|
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normalize: 1.0
|
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slices:
|
||||
- sources:
|
||||
- layer_range: [0, 12]
|
||||
model: Locutusque/TinyMistral-248M
|
||||
parameters:
|
||||
density: [1.0, 0.7, 0.1]
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||||
weight: 1.0
|
||||
- layer_range: [0, 12]
|
||||
model: Locutusque/TinyMistral-248M-v2
|
||||
parameters:
|
||||
density: 0.5
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weight: [0.0, 0.3, 0.7, 1.0]
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||||
```
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This model can also answer basic questions, without needing to do any fine-tuning.
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|
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This model was also created as an attempt to fix the issue with V2 - the weights were prone to exploding gradients, making it difficult to fine-tune. This model is easier to fine-tune.
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To get the best out of this model, I recommend installing it, and trying it out yourself, as the model's performance seems to degrade in the inference API.
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Locutusque__TinyMistral-248M-v2.5)
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| Metric |Value|
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||||
|---------------------------------|----:|
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||||
|Avg. |28.29|
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|AI2 Reasoning Challenge (25-Shot)|24.57|
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||||
|HellaSwag (10-Shot) |27.49|
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||||
|MMLU (5-Shot) |23.15|
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||||
|TruthfulQA (0-shot) |46.72|
|
||||
|Winogrande (5-shot) |47.83|
|
||||
|GSM8k (5-shot) | 0.00|
|
||||
|
||||
|
||||
# [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_Locutusque__TinyMistral-248M-v2.5)
|
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|
||||
| Metric |Value|
|
||||
|-------------------|----:|
|
||||
|Avg. | 3.87|
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||||
|IFEval (0-Shot) |13.36|
|
||||
|BBH (3-Shot) | 3.18|
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||||
|MATH Lvl 5 (4-Shot)| 0.00|
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||||
|GPQA (0-shot) | 0.11|
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|MuSR (0-shot) | 5.07|
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||||
|MMLU-PRO (5-shot) | 1.50|
|
||||
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||||
26
config.json
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config.json
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{
|
||||
"_name_or_path": "Locutusque/TinyMistral-248M-v2.5",
|
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"architectures": [
|
||||
"MistralForCausalLM"
|
||||
],
|
||||
"attention_dropout": 0.0,
|
||||
"bos_token_id": 1,
|
||||
"eos_token_id": 2,
|
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"hidden_act": "silu",
|
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"hidden_size": 1024,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 4096,
|
||||
"max_position_embeddings": 32768,
|
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"model_type": "mistral",
|
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"num_attention_heads": 32,
|
||||
"num_hidden_layers": 12,
|
||||
"num_key_value_heads": 8,
|
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"rms_norm_eps": 1e-06,
|
||||
"rope_theta": 10000.0,
|
||||
"sliding_window": 32,
|
||||
"tie_word_embeddings": false,
|
||||
"torch_dtype": "float16",
|
||||
"transformers_version": "4.36.2",
|
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"use_cache": true,
|
||||
"vocab_size": 32005
|
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}
|
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6
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"
|
||||
}
|
||||
18
mergekit_config.yml
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mergekit_config.yml
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base_model: Locutusque/TinyMistral-248M-v2
|
||||
dtype: float16
|
||||
merge_method: ties
|
||||
parameters:
|
||||
int8_mask: 1.0
|
||||
normalize: 1.0
|
||||
slices:
|
||||
- sources:
|
||||
- layer_range: [0, 12]
|
||||
model: Locutusque/TinyMistral-248M
|
||||
parameters:
|
||||
density: [1.0, 0.7, 0.1]
|
||||
weight: 1.0
|
||||
- layer_range: [0, 12]
|
||||
model: Locutusque/TinyMistral-248M-v2
|
||||
parameters:
|
||||
density: 0.5
|
||||
weight: [0.0, 0.3, 0.7, 1.0]
|
||||
3
model.safetensors
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3
model.safetensors
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||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:bff918787a98342461fbb98abd6ac50b9033d03451888ad58a6d6f4af8f0d61c
|
||||
size 992108712
|
||||
30
special_tokens_map.json
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special_tokens_map.json
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|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<|bos|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"unk_token": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
91172
tokenizer.json
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91172
tokenizer.json
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Load Diff
86
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": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"1": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"2": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"32000": {
|
||||
"content": "<|bos|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"32001": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"32002": {
|
||||
"content": "[PAD]",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"32003": {
|
||||
"content": "<|ASSISTANT|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"32004": {
|
||||
"content": "<|USER|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [],
|
||||
"bos_token": "<|bos|>",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|endoftext|>",
|
||||
"legacy": true,
|
||||
"max_length": 1536,
|
||||
"model_max_length": 1000000000000000019884624838656,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"sp_model_kwargs": {},
|
||||
"spaces_between_special_tokens": false,
|
||||
"stride": 0,
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"truncation_side": "right",
|
||||
"truncation_strategy": "longest_first",
|
||||
"unk_token": "<unk>",
|
||||
"use_default_system_prompt": true
|
||||
}
|
||||
Reference in New Issue
Block a user