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---
language:
- en
- zh
license: other
base_model: internlm/internlm2-base-20b
model-index:
- name: internlm2-base-20b-llama
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: 62.97
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=intervitens/internlm2-base-20b-llama
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: 82.15
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=intervitens/internlm2-base-20b-llama
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: 63.78
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=intervitens/internlm2-base-20b-llama
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: 44.11
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=intervitens/internlm2-base-20b-llama
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: 78.22
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=intervitens/internlm2-base-20b-llama
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: 44.88
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=intervitens/internlm2-base-20b-llama
name: Open LLM Leaderboard
---
#### Special thanks to <a href="https://huggingface.co/chargoddard">Charles Goddard</a> for the conversion script to create llama models from internlm
[internlm2-base-20b](https://huggingface.co/internlm/internlm2-base-20b) converted into Llama-format weights. As with 7B, not 100% sure if it's a correct conversion yet - play with at your own risk.
Subject to internlm's license.
# [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_intervitens__internlm2-base-20b-llama)
| Metric |Value|
|---------------------------------|----:|
|Avg. |62.69|
|AI2 Reasoning Challenge (25-Shot)|62.97|
|HellaSwag (10-Shot) |82.15|
|MMLU (5-Shot) |63.78|
|TruthfulQA (0-shot) |44.11|
|Winogrande (5-shot) |78.22|
|GSM8k (5-shot) |44.88|
|