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---
license: cc-by-nc-4.0
model-index:
- name: Mistral-11B-TestBench9
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: 64.08
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Undi95/Mistral-11B-TestBench9
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: 84.24
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Undi95/Mistral-11B-TestBench9
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: 64.0
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Undi95/Mistral-11B-TestBench9
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: 56.19
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Undi95/Mistral-11B-TestBench9
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: 78.45
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Undi95/Mistral-11B-TestBench9
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: 16.15
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Undi95/Mistral-11B-TestBench9
name: Open LLM Leaderboard
---
Don't mind those at the moment, I need to finetune them for RP, it's just some tests.
WARNING: This model specifically need EOS token I completely forgot to put on the json files, and need to check what was the right ones trough the mix. Please don't use it like this if you really want to review it.
```
slices:
- sources:
- model: "/content/drive/MyDrive/CC-v1.1-7B-bf16"
layer_range: [0, 24]
- sources:
- model: "/content/drive/MyDrive/Zephyr-7B"
layer_range: [8, 32]
merge_method: passthrough
dtype: bfloat16
================================================
slices:
- sources:
- model: "/content/drive/MyDrive/Mistral-11B-CC-Zephyr"
layer_range: [0, 48]
- model: Undi95/Mistral-11B-OpenOrcaPlatypus
layer_range: [0, 48]
merge_method: slerp
base_model: "/content/drive/MyDrive/Mistral-11B-CC-Zephyr"
parameters:
t:
- value: 0.5 # fallback for rest of tensors
dtype: bfloat16
```
hf-causal-experimental (pretrained=/content/drive/MyDrive/Mistral-11B-Test), limit: None, provide_description: False, num_fewshot: 0, batch_size: 4
| Task |Version| Metric |Value | |Stderr|
|-------------|------:|--------|-----:|---|-----:|
|arc_challenge| 0|acc |0.5623|± |0.0145|
| | |acc_norm|0.5794|± |0.0144|
|arc_easy | 0|acc |0.8354|± |0.0076|
| | |acc_norm|0.8165|± |0.0079|
|hellaswag | 0|acc |0.6389|± |0.0048|
| | |acc_norm|0.8236|± |0.0038|
|piqa | 0|acc |0.8139|± |0.0091|
| | |acc_norm|0.8264|± |0.0088|
|truthfulqa_mc| 1|mc1 |0.3978|± |0.0171|
| | |mc2 |0.5607|± |0.0155|
|winogrande | 0|acc |0.7451|± |0.0122|
# [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_Undi95__Mistral-11B-TestBench9)
| Metric | Value |
|-----------------------|---------------------------|
| Avg. | 53.06 |
| ARC (25-shot) | 64.08 |
| HellaSwag (10-shot) | 84.24 |
| MMLU (5-shot) | 64.0 |
| TruthfulQA (0-shot) | 56.19 |
| Winogrande (5-shot) | 78.45 |
| GSM8K (5-shot) | 16.15 |
| DROP (3-shot) | 8.35 |
# [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_Undi95__Mistral-11B-TestBench9)
| Metric |Value|
|---------------------------------|----:|
|Avg. |60.52|
|AI2 Reasoning Challenge (25-Shot)|64.08|
|HellaSwag (10-Shot) |84.24|
|MMLU (5-Shot) |64.00|
|TruthfulQA (0-shot) |56.19|
|Winogrande (5-shot) |78.45|
|GSM8k (5-shot) |16.15|
|