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Model: gagan3012/MetaModel Source: Original Platform
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README.md
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README.md
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---
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license: apache-2.0
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tags:
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- merge
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- mergekit
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---
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# MetaModel
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This model is a merge of the following models made with [mergekit](https://github.com/cg123/mergekit):
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* [jeonsworld/CarbonVillain-en-10.7B-v4](https://huggingface.co/jeonsworld/CarbonVillain-en-10.7B-v4)
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* [kekmodel/StopCarbon-10.7B-v5](https://huggingface.co/kekmodel/StopCarbon-10.7B-v5)
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## 🧩 Configuration
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```yaml
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slices:
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- sources:
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- model: jeonsworld/CarbonVillain-en-10.7B-v4
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layer_range: [0, 48]
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- model: kekmodel/StopCarbon-10.7B-v5
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layer_range: [0, 48]
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merge_method: slerp
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base_model: jeonsworld/CarbonVillain-en-10.7B-v4
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5
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dtype: bfloat16
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```
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# Dataset Card for Evaluation run of gagan3012/MetaModel
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<!-- Provide a quick summary of the dataset. -->
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Dataset automatically created during the evaluation run of model [gagan3012/MetaModel](https://huggingface.co/gagan3012/MetaModel) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
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The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
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The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
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An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
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To load the details from a run, you can for instance do the following:
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```python
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from datasets import load_dataset
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data = load_dataset("open-llm-leaderboard/details_gagan3012__MetaModel",
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"harness_winogrande_5",
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split="train")
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```
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## Latest results
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These are the [latest results from run 2024-01-04T14:09:43.780941](https://huggingface.co/datasets/open-llm-leaderboard/details_gagan3012__MetaModel/blob/main/results_2024-01-04T14-09-43.780941.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
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```python
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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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||||
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||||
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||||
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||||
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||||
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||||
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||||
"harness|hendrycksTest-moral_disputes|5": {
|
||||
"acc": 0.7572254335260116,
|
||||
"acc_stderr": 0.023083658586984204,
|
||||
"acc_norm": 0.7572254335260116,
|
||||
"acc_norm_stderr": 0.023083658586984204
|
||||
},
|
||||
"harness|hendrycksTest-moral_scenarios|5": {
|
||||
"acc": 0.39664804469273746,
|
||||
"acc_stderr": 0.016361354769822468,
|
||||
"acc_norm": 0.39664804469273746,
|
||||
"acc_norm_stderr": 0.016361354769822468
|
||||
},
|
||||
"harness|hendrycksTest-nutrition|5": {
|
||||
"acc": 0.7581699346405228,
|
||||
"acc_stderr": 0.024518195641879334,
|
||||
"acc_norm": 0.7581699346405228,
|
||||
"acc_norm_stderr": 0.024518195641879334
|
||||
},
|
||||
"harness|hendrycksTest-philosophy|5": {
|
||||
"acc": 0.7202572347266881,
|
||||
"acc_stderr": 0.025494259350694905,
|
||||
"acc_norm": 0.7202572347266881,
|
||||
"acc_norm_stderr": 0.025494259350694905
|
||||
},
|
||||
"harness|hendrycksTest-prehistory|5": {
|
||||
"acc": 0.7777777777777778,
|
||||
"acc_stderr": 0.02313237623454333,
|
||||
"acc_norm": 0.7777777777777778,
|
||||
"acc_norm_stderr": 0.02313237623454333
|
||||
},
|
||||
"harness|hendrycksTest-professional_accounting|5": {
|
||||
"acc": 0.5035460992907801,
|
||||
"acc_stderr": 0.02982674915328092,
|
||||
"acc_norm": 0.5035460992907801,
|
||||
"acc_norm_stderr": 0.02982674915328092
|
||||
},
|
||||
"harness|hendrycksTest-professional_law|5": {
|
||||
"acc": 0.49478487614080835,
|
||||
"acc_stderr": 0.012769541449652547,
|
||||
"acc_norm": 0.49478487614080835,
|
||||
"acc_norm_stderr": 0.012769541449652547
|
||||
},
|
||||
"harness|hendrycksTest-professional_medicine|5": {
|
||||
"acc": 0.75,
|
||||
"acc_stderr": 0.026303648393696036,
|
||||
"acc_norm": 0.75,
|
||||
"acc_norm_stderr": 0.026303648393696036
|
||||
},
|
||||
"harness|hendrycksTest-professional_psychology|5": {
|
||||
"acc": 0.6813725490196079,
|
||||
"acc_stderr": 0.018850084696468712,
|
||||
"acc_norm": 0.6813725490196079,
|
||||
"acc_norm_stderr": 0.018850084696468712
|
||||
},
|
||||
"harness|hendrycksTest-public_relations|5": {
|
||||
"acc": 0.6818181818181818,
|
||||
"acc_stderr": 0.04461272175910509,
|
||||
"acc_norm": 0.6818181818181818,
|
||||
"acc_norm_stderr": 0.04461272175910509
|
||||
},
|
||||
"harness|hendrycksTest-security_studies|5": {
|
||||
"acc": 0.746938775510204,
|
||||
"acc_stderr": 0.027833023871399677,
|
||||
"acc_norm": 0.746938775510204,
|
||||
"acc_norm_stderr": 0.027833023871399677
|
||||
},
|
||||
"harness|hendrycksTest-sociology|5": {
|
||||
"acc": 0.8258706467661692,
|
||||
"acc_stderr": 0.026814951200421603,
|
||||
"acc_norm": 0.8258706467661692,
|
||||
"acc_norm_stderr": 0.026814951200421603
|
||||
},
|
||||
"harness|hendrycksTest-us_foreign_policy|5": {
|
||||
"acc": 0.91,
|
||||
"acc_stderr": 0.028762349126466125,
|
||||
"acc_norm": 0.91,
|
||||
"acc_norm_stderr": 0.028762349126466125
|
||||
},
|
||||
"harness|hendrycksTest-virology|5": {
|
||||
"acc": 0.5783132530120482,
|
||||
"acc_stderr": 0.038444531817709175,
|
||||
"acc_norm": 0.5783132530120482,
|
||||
"acc_norm_stderr": 0.038444531817709175
|
||||
},
|
||||
"harness|hendrycksTest-world_religions|5": {
|
||||
"acc": 0.7777777777777778,
|
||||
"acc_stderr": 0.03188578017686398,
|
||||
"acc_norm": 0.7777777777777778,
|
||||
"acc_norm_stderr": 0.03188578017686398
|
||||
},
|
||||
"harness|truthfulqa:mc|0": {
|
||||
"mc1": 0.5691554467564259,
|
||||
"mc1_stderr": 0.01733527247533237,
|
||||
"mc2": 0.7184177934834866,
|
||||
"mc2_stderr": 0.014995634120330182
|
||||
},
|
||||
"harness|winogrande|5": {
|
||||
"acc": 0.8342541436464088,
|
||||
"acc_stderr": 0.010450899545370632
|
||||
},
|
||||
"harness|gsm8k|5": {
|
||||
"acc": 0.6535253980288097,
|
||||
"acc_stderr": 0.013107179054313398
|
||||
}
|
||||
}
|
||||
```
|
||||
# [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_gagan3012__MetaModel)
|
||||
|
||||
| Metric | Value |
|
||||
|-----------------------|---------------------------|
|
||||
| Avg. | 74.4 |
|
||||
| ARC (25-shot) | 71.08 |
|
||||
| HellaSwag (10-shot) | 88.45 |
|
||||
| MMLU (5-shot) | 66.26 |
|
||||
| TruthfulQA (0-shot) | 71.84 |
|
||||
| Winogrande (5-shot) | 83.43 |
|
||||
| GSM8K (5-shot) | 65.35 |
|
||||
29
config.json
Normal file
29
config.json
Normal file
@@ -0,0 +1,29 @@
|
||||
{
|
||||
"_name_or_path": "jeonsworld/CarbonVillain-en-10.7B-v4",
|
||||
"architectures": [
|
||||
"LlamaForCausalLM"
|
||||
],
|
||||
"attention_bias": false,
|
||||
"attention_dropout": 0.0,
|
||||
"bos_token_id": 1,
|
||||
"eos_token_id": 2,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 4096,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 14336,
|
||||
"max_position_embeddings": 4096,
|
||||
"model_type": "llama",
|
||||
"num_attention_heads": 32,
|
||||
"num_hidden_layers": 48,
|
||||
"num_key_value_heads": 8,
|
||||
"pad_token_id": 2,
|
||||
"pretraining_tp": 1,
|
||||
"rms_norm_eps": 1e-05,
|
||||
"rope_scaling": null,
|
||||
"rope_theta": 10000.0,
|
||||
"tie_word_embeddings": false,
|
||||
"torch_dtype": "bfloat16",
|
||||
"transformers_version": "4.35.0.dev0",
|
||||
"use_cache": true,
|
||||
"vocab_size": 32000
|
||||
}
|
||||
3
model-00001-of-00003.safetensors
Normal file
3
model-00001-of-00003.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:7cb584e9cdbaedfd6e1e844b4b75268b2920314a63f923144892ffdec4e768f5
|
||||
size 9942990000
|
||||
3
model-00002-of-00003.safetensors
Normal file
3
model-00002-of-00003.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:76bb8dfd2dfc60d7bbf5489e0f001a1a489100d3def475023bc548d816eb209d
|
||||
size 9831824080
|
||||
3
model-00003-of-00003.safetensors
Normal file
3
model-00003-of-00003.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:8c4da26272daf148c52582986ac3b7879734c588f9f34df669bf3c9b0ee8a848
|
||||
size 1688284776
|
||||
1
model.safetensors.index.json
Normal file
1
model.safetensors.index.json
Normal file
File diff suppressed because one or more lines are too long
30
special_tokens_map.json
Normal file
30
special_tokens_map.json
Normal file
@@ -0,0 +1,30 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"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
|
||||
}
|
||||
}
|
||||
91122
tokenizer.json
Normal file
91122
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
Binary file not shown.
41
tokenizer_config.json
Normal file
41
tokenizer_config.json
Normal file
@@ -0,0 +1,41 @@
|
||||
{
|
||||
"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
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [],
|
||||
"bos_token": "<s>",
|
||||
"chat_template": "{% for message in messages %}{% if message['role'] == 'system' %}{% if message['content']%}{{'### System:\n' + message['content']+'\n\n'}}{% endif %}{% elif message['role'] == 'user' %}{{'### User:\n' + message['content']+'\n\n'}}{% elif message['role'] == 'assistant' %}{{'### Assistant:\n' + message['content']}}{% endif %}{% if loop.last and add_generation_prompt %}{{ '### Assistant:\n' }}{% endif %}{% endfor %}",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "</s>",
|
||||
"legacy": true,
|
||||
"model_max_length": 1000000000000000019884624838656,
|
||||
"pad_token": "</s>",
|
||||
"sp_model_kwargs": {},
|
||||
"spaces_between_special_tokens": false,
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"unk_token": "<unk>",
|
||||
"use_default_system_prompt": true
|
||||
}
|
||||
Reference in New Issue
Block a user