初始化项目，由ModelHub XC社区提供模型
Model: neuralmagic/Llama-2-7b-pruned70-retrained Source: Original Platform
This commit is contained in:
ModelHub XC
38
.gitattributes
vendored
Normal file
38
.gitattributes
vendored
Normal file
@@ -0,0 +1,38 @@
|
|||||||
|
*.7z filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.arrow filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.bin filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.bz2 filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.ckpt filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.ftz filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.gz filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.h5 filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.joblib filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.model filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.npy filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.npz filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.onnx filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.ot filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.parquet filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.pb filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.pickle filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.pkl filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.pt filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.pth filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.rar filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
||||||
|
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.tar filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.tflite filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.tgz filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.wasm filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.xz filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.zip filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.zst filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
||||||
|
model-00001-of-00003.safetensors filter=lfs diff=lfs merge=lfs -text
|
||||||
|
model-00002-of-00003.safetensors filter=lfs diff=lfs merge=lfs -text
|
||||||
|
model-00003-of-00003.safetensors filter=lfs diff=lfs merge=lfs -text
|
||||||
66
README.md
Normal file
66
README.md
Normal file
@@ -0,0 +1,66 @@
|
|||||||
|
---
|
||||||
|
base_model: neuralmagic/Llama-2-7b-pruned50-retrained
|
||||||
|
inference: true
|
||||||
|
model_type: llama
|
||||||
|
pipeline_tag: text-generation
|
||||||
|
datasets:
|
||||||
|
- cerebras/SlimPajama-627B
|
||||||
|
tags:
|
||||||
|
- sparse
|
||||||
|
---
|
||||||
|
|
||||||
|
# Llama-2-7b-pruned70-retrained
|
||||||
|
|
||||||
|
This repo contains model files for a [Llama 2 7B](https://huggingface.co/meta-llama/Llama-2-7b-hf) model that has had 50% of the parameters pruned in one-shot with [SparseGPT](https://arxiv.org/abs/2301.00774), then retrained by [Cerebras](https://huggingface.co/cerebras) with 50B tokens from SlimPajama while maintaining sparsity. It was then one-shot pruned to 70% sparsity and trained for another 100B tokens.
|
||||||
|
|
||||||
|
Official model weights from [Enabling High-Sparsity Foundational Llama Models with Efficient Pretraining and Deployment](https://arxiv.org/abs/2405.03594).
|
||||||
|
|
||||||
|
**Authors**: Neural Magic, Cerebras
|
||||||
|
|
||||||
|
## Usage
|
||||||
|
|
||||||
|
Below we share some code snippets on how to get quickly started with running the model.
|
||||||
|
|
||||||
|
### Sparse Transfer
|
||||||
|
|
||||||
|
By leveraging a pre-sparsified model's structure, you can efficiently fine-tune on new data, leading to reduced hyperparameter tuning, training times, and computational costs. Learn about this process [here](https://neuralmagic.github.io/docs-v2/get-started/transfer).
|
||||||
|
|
||||||
|
### Running the model
|
||||||
|
|
||||||
|
This model has not been fine-tuned for instruction-following but may be run with the transformers library. For accelerated inference with sparsity, deploy with [nm-vllm](https://github.com/neuralmagic/nm-vllm) or [deepsparse](https://github.com/neuralmagic/deepsparse).
|
||||||
|
|
||||||
|
```python
|
||||||
|
# pip install transformers accelerate
|
||||||
|
from transformers import AutoTokenizer, AutoModelForCausalLM
|
||||||
|
|
||||||
|
tokenizer = AutoTokenizer.from_pretrained("neuralmagic/Llama-2-7b-pruned70-retrained")
|
||||||
|
model = AutoModelForCausalLM.from_pretrained("neuralmagic/Llama-2-7b-pruned70-retrained", device_map="auto")
|
||||||
|
|
||||||
|
input_text = "Write me a poem about Machine Learning."
|
||||||
|
input_ids = tokenizer(input_text, return_tensors="pt").to("cuda")
|
||||||
|
|
||||||
|
outputs = model.generate(**input_ids)
|
||||||
|
print(tokenizer.decode(outputs[0]))
|
||||||
|
```
|
||||||
|
|
||||||
|
## Evaluation Benchmark Results
|
||||||
|
|
||||||
|
Model evaluation metrics and results. [UPDATE]
|
||||||
|
|
||||||
|
| Benchmark | Metric | Llama-2-7b | Llama-2-7b-pruned70-retrained |
|
||||||
|
|------------------------------------------------|---------------|-------------|-------------------------------|
|
||||||
|
| [MMLU](https://arxiv.org/abs/2009.03300) | 5-shot | 46.9% | 36.5% |
|
||||||
|
| [HellaSwag](https://arxiv.org/abs/1905.07830) | 0-shot | 78.6% | 74.1% |
|
||||||
|
| [WinoGrande](https://arxiv.org/abs/1907.10641) | 5-shot | 74.0% | 69.5% |
|
||||||
|
| [ARC-c](https://arxiv.org/abs/1911.01547) | 25-shot | 53.1% | 45.4% |
|
||||||
|
| [TruthfulQA](https://arxiv.org/abs/2109.07958) | 5-shot | 38.8% | 36.7% |
|
||||||
|
| [GSM8K](https://arxiv.org/abs/2110.14168) | 5-shot | 14.5% | 8.0% |
|
||||||
|
| [HumanEval](https://arxiv.org/abs/2107.03374) | pass@1 | 13.4% | 14.4% |
|
||||||
|
|
||||||
|
## Model Training Details
|
||||||
|
|
||||||
|
[UPDATE]
|
||||||
|
|
||||||
|
## Help
|
||||||
|
|
||||||
|
For further support, and discussions on these models and AI in general, join [Neural Magic's Slack Community](https://join.slack.com/t/discuss-neuralmagic/shared_invite/zt-q1a1cnvo-YBoICSIw3L1dmQpjBeDurQ)
|
||||||
25
arc_challenge_25shot_bs16_bf16.json
Normal file
25
arc_challenge_25shot_bs16_bf16.json
Normal file
@@ -0,0 +1,25 @@
|
|||||||
|
{
|
||||||
|
"results": {
|
||||||
|
"arc_challenge": {
|
||||||
|
"acc": 0.431740614334471,
|
||||||
|
"acc_stderr": 0.014474591427196206,
|
||||||
|
"acc_norm": 0.4539249146757679,
|
||||||
|
"acc_norm_stderr": 0.014549221105171864
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"versions": {
|
||||||
|
"arc_challenge": 0
|
||||||
|
},
|
||||||
|
"config": {
|
||||||
|
"model": "sparseml",
|
||||||
|
"model_args": "pretrained=/network/alexandre/research/cerebras/llama2_7B_sparse70_retrained/checkpoint,dtype=bfloat16",
|
||||||
|
"num_fewshot": 25,
|
||||||
|
"batch_size": "16",
|
||||||
|
"batch_sizes": [],
|
||||||
|
"device": "cuda:4",
|
||||||
|
"no_cache": true,
|
||||||
|
"limit": null,
|
||||||
|
"bootstrap_iters": 100000,
|
||||||
|
"description_dict": {}
|
||||||
|
}
|
||||||
|
}
|
||||||
29
config.json
Normal file
29
config.json
Normal file
@@ -0,0 +1,29 @@
|
|||||||
|
{
|
||||||
|
"_name_or_path": "neuralmagic/Llama-2-7b-pruned70-retrained",
|
||||||
|
"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": 11008,
|
||||||
|
"max_position_embeddings": 4096,
|
||||||
|
"model_type": "llama",
|
||||||
|
"num_attention_heads": 32,
|
||||||
|
"num_hidden_layers": 32,
|
||||||
|
"num_key_value_heads": 32,
|
||||||
|
"pretraining_tp": 1,
|
||||||
|
"rms_norm_eps": 1e-05,
|
||||||
|
"rope_scaling": null,
|
||||||
|
"rope_theta": 10000.0,
|
||||||
|
"tie_word_embeddings": false,
|
||||||
|
"tokenizer_class": "LlamaTokenizerFast",
|
||||||
|
"torch_dtype": "bfloat16",
|
||||||
|
"transformers_version": "4.40.0",
|
||||||
|
"use_cache": true,
|
||||||
|
"vocab_size": 32000
|
||||||
|
}
|
||||||
1
configuration.json
Normal file
1
configuration.json
Normal file
@@ -0,0 +1 @@
|
|||||||
|
{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
|
||||||
6
generation_config.json
Normal file
6
generation_config.json
Normal file
@@ -0,0 +1,6 @@
|
|||||||
|
{
|
||||||
|
"_from_model_config": true,
|
||||||
|
"bos_token_id": 1,
|
||||||
|
"eos_token_id": 2,
|
||||||
|
"transformers_version": "4.40.0"
|
||||||
|
}
|
||||||
23
gsm8k_5shot_bs16_bf16.json
Normal file
23
gsm8k_5shot_bs16_bf16.json
Normal file
@@ -0,0 +1,23 @@
|
|||||||
|
{
|
||||||
|
"results": {
|
||||||
|
"gsm8k": {
|
||||||
|
"acc": 0.07960576194086429,
|
||||||
|
"acc_stderr": 0.00745592433867626
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"versions": {
|
||||||
|
"gsm8k": 0
|
||||||
|
},
|
||||||
|
"config": {
|
||||||
|
"model": "sparseml",
|
||||||
|
"model_args": "pretrained=/network/alexandre/research/cerebras/llama2_7B_sparse70_retrained/checkpoint,dtype=bfloat16",
|
||||||
|
"num_fewshot": 5,
|
||||||
|
"batch_size": "16",
|
||||||
|
"batch_sizes": [],
|
||||||
|
"device": "cuda:6",
|
||||||
|
"no_cache": true,
|
||||||
|
"limit": null,
|
||||||
|
"bootstrap_iters": 100000,
|
||||||
|
"description_dict": {}
|
||||||
|
}
|
||||||
|
}
|
||||||
25
hellaswag_10shot_bs16_bf16.json
Normal file
25
hellaswag_10shot_bs16_bf16.json
Normal file
@@ -0,0 +1,25 @@
|
|||||||
|
{
|
||||||
|
"results": {
|
||||||
|
"hellaswag": {
|
||||||
|
"acc": 0.5493925512846046,
|
||||||
|
"acc_stderr": 0.004965375341643134,
|
||||||
|
"acc_norm": 0.7405895239992033,
|
||||||
|
"acc_norm_stderr": 0.004374153847826759
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"versions": {
|
||||||
|
"hellaswag": 0
|
||||||
|
},
|
||||||
|
"config": {
|
||||||
|
"model": "sparseml",
|
||||||
|
"model_args": "pretrained=/network/alexandre/research/cerebras/llama2_7B_sparse70_retrained/checkpoint,dtype=bfloat16",
|
||||||
|
"num_fewshot": 10,
|
||||||
|
"batch_size": "16",
|
||||||
|
"batch_sizes": [],
|
||||||
|
"device": "cuda:2",
|
||||||
|
"no_cache": true,
|
||||||
|
"limit": null,
|
||||||
|
"bootstrap_iters": 100000,
|
||||||
|
"description_dict": {}
|
||||||
|
}
|
||||||
|
}
|
||||||
47
humaneval_fp16.json
Normal file
47
humaneval_fp16.json
Normal file
@@ -0,0 +1,47 @@
|
|||||||
|
{
|
||||||
|
"humaneval": {
|
||||||
|
"pass@1": 0.14402439024390246,
|
||||||
|
"pass@10": 0.19110161217231836
|
||||||
|
},
|
||||||
|
"config": {
|
||||||
|
"prefix": "",
|
||||||
|
"do_sample": true,
|
||||||
|
"temperature": 0.2,
|
||||||
|
"top_k": 0,
|
||||||
|
"top_p": 0.95,
|
||||||
|
"n_samples": 50,
|
||||||
|
"eos": "<|endoftext|>",
|
||||||
|
"seed": 0,
|
||||||
|
"model": "/network/alexandre/research/cerebras/llama2_7B_sparse70_retrained/checkpoint",
|
||||||
|
"modeltype": "causal",
|
||||||
|
"peft_model": null,
|
||||||
|
"revision": null,
|
||||||
|
"use_auth_token": false,
|
||||||
|
"trust_remote_code": false,
|
||||||
|
"tasks": "humaneval",
|
||||||
|
"instruction_tokens": null,
|
||||||
|
"batch_size": 32,
|
||||||
|
"max_length_generation": 512,
|
||||||
|
"precision": "fp16",
|
||||||
|
"load_in_8bit": false,
|
||||||
|
"load_in_4bit": false,
|
||||||
|
"left_padding": false,
|
||||||
|
"limit": null,
|
||||||
|
"limit_start": 0,
|
||||||
|
"save_every_k_tasks": -1,
|
||||||
|
"postprocess": true,
|
||||||
|
"allow_code_execution": true,
|
||||||
|
"generation_only": false,
|
||||||
|
"load_generations_path": null,
|
||||||
|
"load_data_path": null,
|
||||||
|
"metric_output_path": "/network/alexandre/research/cerebras/llama2_7B_sparse70_retrained/checkpoint/humaneval_fp16.json",
|
||||||
|
"save_generations": true,
|
||||||
|
"load_generations_intermediate_paths": null,
|
||||||
|
"save_generations_path": "generations.json",
|
||||||
|
"save_references": false,
|
||||||
|
"save_references_path": "references.json",
|
||||||
|
"prompt": "prompt",
|
||||||
|
"max_memory_per_gpu": "auto",
|
||||||
|
"check_references": false
|
||||||
|
}
|
||||||
|
}
|
||||||
417
mmlu_5shot_bs4_bf16.json
Normal file
417
mmlu_5shot_bs4_bf16.json
Normal file
@@ -0,0 +1,417 @@
|
|||||||
|
{
|
||||||
|
"results": {
|
||||||
|
"hendrycksTest-abstract_algebra": {
|
||||||
|
"acc": 0.27,
|
||||||
|
"acc_stderr": 0.04461960433384741,
|
||||||
|
"acc_norm": 0.27,
|
||||||
|
"acc_norm_stderr": 0.04461960433384741
|
||||||
|
},
|
||||||
|
"hendrycksTest-anatomy": {
|
||||||
|
"acc": 0.3925925925925926,
|
||||||
|
"acc_stderr": 0.04218506215368879,
|
||||||
|
"acc_norm": 0.3925925925925926,
|
||||||
|
"acc_norm_stderr": 0.04218506215368879
|
||||||
|
},
|
||||||
|
"hendrycksTest-astronomy": {
|
||||||
|
"acc": 0.3815789473684211,
|
||||||
|
"acc_stderr": 0.03953173377749194,
|
||||||
|
"acc_norm": 0.3815789473684211,
|
||||||
|
"acc_norm_stderr": 0.03953173377749194
|
||||||
|
},
|
||||||
|
"hendrycksTest-business_ethics": {
|
||||||
|
"acc": 0.4,
|
||||||
|
"acc_stderr": 0.049236596391733084,
|
||||||
|
"acc_norm": 0.4,
|
||||||
|
"acc_norm_stderr": 0.049236596391733084
|
||||||
|
},
|
||||||
|
"hendrycksTest-clinical_knowledge": {
|
||||||
|
"acc": 0.37735849056603776,
|
||||||
|
"acc_stderr": 0.029832808114796005,
|
||||||
|
"acc_norm": 0.37735849056603776,
|
||||||
|
"acc_norm_stderr": 0.029832808114796005
|
||||||
|
},
|
||||||
|
"hendrycksTest-college_biology": {
|
||||||
|
"acc": 0.3680555555555556,
|
||||||
|
"acc_stderr": 0.040329990539607195,
|
||||||
|
"acc_norm": 0.3680555555555556,
|
||||||
|
"acc_norm_stderr": 0.040329990539607195
|
||||||
|
},
|
||||||
|
"hendrycksTest-college_chemistry": {
|
||||||
|
"acc": 0.25,
|
||||||
|
"acc_stderr": 0.04351941398892446,
|
||||||
|
"acc_norm": 0.25,
|
||||||
|
"acc_norm_stderr": 0.04351941398892446
|
||||||
|
},
|
||||||
|
"hendrycksTest-college_computer_science": {
|
||||||
|
"acc": 0.37,
|
||||||
|
"acc_stderr": 0.04852365870939099,
|
||||||
|
"acc_norm": 0.37,
|
||||||
|
"acc_norm_stderr": 0.04852365870939099
|
||||||
|
},
|
||||||
|
"hendrycksTest-college_mathematics": {
|
||||||
|
"acc": 0.3,
|
||||||
|
"acc_stderr": 0.046056618647183814,
|
||||||
|
"acc_norm": 0.3,
|
||||||
|
"acc_norm_stderr": 0.046056618647183814
|
||||||
|
},
|
||||||
|
"hendrycksTest-college_medicine": {
|
||||||
|
"acc": 0.3236994219653179,
|
||||||
|
"acc_stderr": 0.0356760379963917,
|
||||||
|
"acc_norm": 0.3236994219653179,
|
||||||
|
"acc_norm_stderr": 0.0356760379963917
|
||||||
|
},
|
||||||
|
"hendrycksTest-college_physics": {
|
||||||
|
"acc": 0.22549019607843138,
|
||||||
|
"acc_stderr": 0.04158307533083286,
|
||||||
|
"acc_norm": 0.22549019607843138,
|
||||||
|
"acc_norm_stderr": 0.04158307533083286
|
||||||
|
},
|
||||||
|
"hendrycksTest-computer_security": {
|
||||||
|
"acc": 0.46,
|
||||||
|
"acc_stderr": 0.05009082659620332,
|
||||||
|
"acc_norm": 0.46,
|
||||||
|
"acc_norm_stderr": 0.05009082659620332
|
||||||
|
},
|
||||||
|
"hendrycksTest-conceptual_physics": {
|
||||||
|
"acc": 0.33617021276595743,
|
||||||
|
"acc_stderr": 0.03088161852067694,
|
||||||
|
"acc_norm": 0.33617021276595743,
|
||||||
|
"acc_norm_stderr": 0.03088161852067694
|
||||||
|
},
|
||||||
|
"hendrycksTest-econometrics": {
|
||||||
|
"acc": 0.3157894736842105,
|
||||||
|
"acc_stderr": 0.04372748290278007,
|
||||||
|
"acc_norm": 0.3157894736842105,
|
||||||
|
"acc_norm_stderr": 0.04372748290278007
|
||||||
|
},
|
||||||
|
"hendrycksTest-electrical_engineering": {
|
||||||
|
"acc": 0.3793103448275862,
|
||||||
|
"acc_stderr": 0.04043461861916747,
|
||||||
|
"acc_norm": 0.3793103448275862,
|
||||||
|
"acc_norm_stderr": 0.04043461861916747
|
||||||
|
},
|
||||||
|
"hendrycksTest-elementary_mathematics": {
|
||||||
|
"acc": 0.25925925925925924,
|
||||||
|
"acc_stderr": 0.02256989707491841,
|
||||||
|
"acc_norm": 0.25925925925925924,
|
||||||
|
"acc_norm_stderr": 0.02256989707491841
|
||||||
|
},
|
||||||
|
"hendrycksTest-formal_logic": {
|
||||||
|
"acc": 0.20634920634920634,
|
||||||
|
"acc_stderr": 0.03619604524124251,
|
||||||
|
"acc_norm": 0.20634920634920634,
|
||||||
|
"acc_norm_stderr": 0.03619604524124251
|
||||||
|
},
|
||||||
|
"hendrycksTest-global_facts": {
|
||||||
|
"acc": 0.3,
|
||||||
|
"acc_stderr": 0.046056618647183814,
|
||||||
|
"acc_norm": 0.3,
|
||||||
|
"acc_norm_stderr": 0.046056618647183814
|
||||||
|
},
|
||||||
|
"hendrycksTest-high_school_biology": {
|
||||||
|
"acc": 0.34838709677419355,
|
||||||
|
"acc_stderr": 0.02710482632810094,
|
||||||
|
"acc_norm": 0.34838709677419355,
|
||||||
|
"acc_norm_stderr": 0.02710482632810094
|
||||||
|
},
|
||||||
|
"hendrycksTest-high_school_chemistry": {
|
||||||
|
"acc": 0.3054187192118227,
|
||||||
|
"acc_stderr": 0.03240661565868408,
|
||||||
|
"acc_norm": 0.3054187192118227,
|
||||||
|
"acc_norm_stderr": 0.03240661565868408
|
||||||
|
},
|
||||||
|
"hendrycksTest-high_school_computer_science": {
|
||||||
|
"acc": 0.35,
|
||||||
|
"acc_stderr": 0.047937248544110196,
|
||||||
|
"acc_norm": 0.35,
|
||||||
|
"acc_norm_stderr": 0.047937248544110196
|
||||||
|
},
|
||||||
|
"hendrycksTest-high_school_european_history": {
|
||||||
|
"acc": 0.36363636363636365,
|
||||||
|
"acc_stderr": 0.03756335775187896,
|
||||||
|
"acc_norm": 0.36363636363636365,
|
||||||
|
"acc_norm_stderr": 0.03756335775187896
|
||||||
|
},
|
||||||
|
"hendrycksTest-high_school_geography": {
|
||||||
|
"acc": 0.3686868686868687,
|
||||||
|
"acc_stderr": 0.03437305501980619,
|
||||||
|
"acc_norm": 0.3686868686868687,
|
||||||
|
"acc_norm_stderr": 0.03437305501980619
|
||||||
|
},
|
||||||
|
"hendrycksTest-high_school_government_and_politics": {
|
||||||
|
"acc": 0.5181347150259067,
|
||||||
|
"acc_stderr": 0.036060650018329185,
|
||||||
|
"acc_norm": 0.5181347150259067,
|
||||||
|
"acc_norm_stderr": 0.036060650018329185
|
||||||
|
},
|
||||||
|
"hendrycksTest-high_school_macroeconomics": {
|
||||||
|
"acc": 0.34102564102564104,
|
||||||
|
"acc_stderr": 0.024035489676335068,
|
||||||
|
"acc_norm": 0.34102564102564104,
|
||||||
|
"acc_norm_stderr": 0.024035489676335068
|
||||||
|
},
|
||||||
|
"hendrycksTest-high_school_mathematics": {
|
||||||
|
"acc": 0.2851851851851852,
|
||||||
|
"acc_stderr": 0.027528599210340496,
|
||||||
|
"acc_norm": 0.2851851851851852,
|
||||||
|
"acc_norm_stderr": 0.027528599210340496
|
||||||
|
},
|
||||||
|
"hendrycksTest-high_school_microeconomics": {
|
||||||
|
"acc": 0.35294117647058826,
|
||||||
|
"acc_stderr": 0.03104194130405927,
|
||||||
|
"acc_norm": 0.35294117647058826,
|
||||||
|
"acc_norm_stderr": 0.03104194130405927
|
||||||
|
},
|
||||||
|
"hendrycksTest-high_school_physics": {
|
||||||
|
"acc": 0.31125827814569534,
|
||||||
|
"acc_stderr": 0.03780445850526732,
|
||||||
|
"acc_norm": 0.31125827814569534,
|
||||||
|
"acc_norm_stderr": 0.03780445850526732
|
||||||
|
},
|
||||||
|
"hendrycksTest-high_school_psychology": {
|
||||||
|
"acc": 0.4018348623853211,
|
||||||
|
"acc_stderr": 0.02102010617299701,
|
||||||
|
"acc_norm": 0.4018348623853211,
|
||||||
|
"acc_norm_stderr": 0.02102010617299701
|
||||||
|
},
|
||||||
|
"hendrycksTest-high_school_statistics": {
|
||||||
|
"acc": 0.3148148148148148,
|
||||||
|
"acc_stderr": 0.03167468706828979,
|
||||||
|
"acc_norm": 0.3148148148148148,
|
||||||
|
"acc_norm_stderr": 0.03167468706828979
|
||||||
|
},
|
||||||
|
"hendrycksTest-high_school_us_history": {
|
||||||
|
"acc": 0.37254901960784315,
|
||||||
|
"acc_stderr": 0.033933885849584025,
|
||||||
|
"acc_norm": 0.37254901960784315,
|
||||||
|
"acc_norm_stderr": 0.033933885849584025
|
||||||
|
},
|
||||||
|
"hendrycksTest-high_school_world_history": {
|
||||||
|
"acc": 0.4345991561181435,
|
||||||
|
"acc_stderr": 0.03226759995510144,
|
||||||
|
"acc_norm": 0.4345991561181435,
|
||||||
|
"acc_norm_stderr": 0.03226759995510144
|
||||||
|
},
|
||||||
|
"hendrycksTest-human_aging": {
|
||||||
|
"acc": 0.42152466367713004,
|
||||||
|
"acc_stderr": 0.03314190222110658,
|
||||||
|
"acc_norm": 0.42152466367713004,
|
||||||
|
"acc_norm_stderr": 0.03314190222110658
|
||||||
|
},
|
||||||
|
"hendrycksTest-human_sexuality": {
|
||||||
|
"acc": 0.3969465648854962,
|
||||||
|
"acc_stderr": 0.04291135671009224,
|
||||||
|
"acc_norm": 0.3969465648854962,
|
||||||
|
"acc_norm_stderr": 0.04291135671009224
|
||||||
|
},
|
||||||
|
"hendrycksTest-international_law": {
|
||||||
|
"acc": 0.5371900826446281,
|
||||||
|
"acc_stderr": 0.04551711196104218,
|
||||||
|
"acc_norm": 0.5371900826446281,
|
||||||
|
"acc_norm_stderr": 0.04551711196104218
|
||||||
|
},
|
||||||
|
"hendrycksTest-jurisprudence": {
|
||||||
|
"acc": 0.35185185185185186,
|
||||||
|
"acc_stderr": 0.046166311118017146,
|
||||||
|
"acc_norm": 0.35185185185185186,
|
||||||
|
"acc_norm_stderr": 0.046166311118017146
|
||||||
|
},
|
||||||
|
"hendrycksTest-logical_fallacies": {
|
||||||
|
"acc": 0.3374233128834356,
|
||||||
|
"acc_stderr": 0.037149084099355745,
|
||||||
|
"acc_norm": 0.3374233128834356,
|
||||||
|
"acc_norm_stderr": 0.037149084099355745
|
||||||
|
},
|
||||||
|
"hendrycksTest-machine_learning": {
|
||||||
|
"acc": 0.2857142857142857,
|
||||||
|
"acc_stderr": 0.042878587513404544,
|
||||||
|
"acc_norm": 0.2857142857142857,
|
||||||
|
"acc_norm_stderr": 0.042878587513404544
|
||||||
|
},
|
||||||
|
"hendrycksTest-management": {
|
||||||
|
"acc": 0.36893203883495146,
|
||||||
|
"acc_stderr": 0.04777615181156739,
|
||||||
|
"acc_norm": 0.36893203883495146,
|
||||||
|
"acc_norm_stderr": 0.04777615181156739
|
||||||
|
},
|
||||||
|
"hendrycksTest-marketing": {
|
||||||
|
"acc": 0.45726495726495725,
|
||||||
|
"acc_stderr": 0.03263622596380688,
|
||||||
|
"acc_norm": 0.45726495726495725,
|
||||||
|
"acc_norm_stderr": 0.03263622596380688
|
||||||
|
},
|
||||||
|
"hendrycksTest-medical_genetics": {
|
||||||
|
"acc": 0.44,
|
||||||
|
"acc_stderr": 0.04988876515698589,
|
||||||
|
"acc_norm": 0.44,
|
||||||
|
"acc_norm_stderr": 0.04988876515698589
|
||||||
|
},
|
||||||
|
"hendrycksTest-miscellaneous": {
|
||||||
|
"acc": 0.4763729246487867,
|
||||||
|
"acc_stderr": 0.01785998976517645,
|
||||||
|
"acc_norm": 0.4763729246487867,
|
||||||
|
"acc_norm_stderr": 0.01785998976517645
|
||||||
|
},
|
||||||
|
"hendrycksTest-moral_disputes": {
|
||||||
|
"acc": 0.3699421965317919,
|
||||||
|
"acc_stderr": 0.025992472029306386,
|
||||||
|
"acc_norm": 0.3699421965317919,
|
||||||
|
"acc_norm_stderr": 0.025992472029306386
|
||||||
|
},
|
||||||
|
"hendrycksTest-moral_scenarios": {
|
||||||
|
"acc": 0.23798882681564246,
|
||||||
|
"acc_stderr": 0.01424263007057488,
|
||||||
|
"acc_norm": 0.23798882681564246,
|
||||||
|
"acc_norm_stderr": 0.01424263007057488
|
||||||
|
},
|
||||||
|
"hendrycksTest-nutrition": {
|
||||||
|
"acc": 0.4150326797385621,
|
||||||
|
"acc_stderr": 0.028213504177824103,
|
||||||
|
"acc_norm": 0.4150326797385621,
|
||||||
|
"acc_norm_stderr": 0.028213504177824103
|
||||||
|
},
|
||||||
|
"hendrycksTest-philosophy": {
|
||||||
|
"acc": 0.4405144694533762,
|
||||||
|
"acc_stderr": 0.028196400574197426,
|
||||||
|
"acc_norm": 0.4405144694533762,
|
||||||
|
"acc_norm_stderr": 0.028196400574197426
|
||||||
|
},
|
||||||
|
"hendrycksTest-prehistory": {
|
||||||
|
"acc": 0.37962962962962965,
|
||||||
|
"acc_stderr": 0.02700252103451648,
|
||||||
|
"acc_norm": 0.37962962962962965,
|
||||||
|
"acc_norm_stderr": 0.02700252103451648
|
||||||
|
},
|
||||||
|
"hendrycksTest-professional_accounting": {
|
||||||
|
"acc": 0.29432624113475175,
|
||||||
|
"acc_stderr": 0.02718712701150379,
|
||||||
|
"acc_norm": 0.29432624113475175,
|
||||||
|
"acc_norm_stderr": 0.02718712701150379
|
||||||
|
},
|
||||||
|
"hendrycksTest-professional_law": {
|
||||||
|
"acc": 0.30378096479791394,
|
||||||
|
"acc_stderr": 0.011745787720472472,
|
||||||
|
"acc_norm": 0.30378096479791394,
|
||||||
|
"acc_norm_stderr": 0.011745787720472472
|
||||||
|
},
|
||||||
|
"hendrycksTest-professional_medicine": {
|
||||||
|
"acc": 0.40808823529411764,
|
||||||
|
"acc_stderr": 0.029855261393483924,
|
||||||
|
"acc_norm": 0.40808823529411764,
|
||||||
|
"acc_norm_stderr": 0.029855261393483924
|
||||||
|
},
|
||||||
|
"hendrycksTest-professional_psychology": {
|
||||||
|
"acc": 0.35294117647058826,
|
||||||
|
"acc_stderr": 0.01933314202079706,
|
||||||
|
"acc_norm": 0.35294117647058826,
|
||||||
|
"acc_norm_stderr": 0.01933314202079706
|
||||||
|
},
|
||||||
|
"hendrycksTest-public_relations": {
|
||||||
|
"acc": 0.4090909090909091,
|
||||||
|
"acc_stderr": 0.04709306978661896,
|
||||||
|
"acc_norm": 0.4090909090909091,
|
||||||
|
"acc_norm_stderr": 0.04709306978661896
|
||||||
|
},
|
||||||
|
"hendrycksTest-security_studies": {
|
||||||
|
"acc": 0.3224489795918367,
|
||||||
|
"acc_stderr": 0.029923100563683906,
|
||||||
|
"acc_norm": 0.3224489795918367,
|
||||||
|
"acc_norm_stderr": 0.029923100563683906
|
||||||
|
},
|
||||||
|
"hendrycksTest-sociology": {
|
||||||
|
"acc": 0.42786069651741293,
|
||||||
|
"acc_stderr": 0.03498541988407795,
|
||||||
|
"acc_norm": 0.42786069651741293,
|
||||||
|
"acc_norm_stderr": 0.03498541988407795
|
||||||
|
},
|
||||||
|
"hendrycksTest-us_foreign_policy": {
|
||||||
|
"acc": 0.53,
|
||||||
|
"acc_stderr": 0.05016135580465919,
|
||||||
|
"acc_norm": 0.53,
|
||||||
|
"acc_norm_stderr": 0.05016135580465919
|
||||||
|
},
|
||||||
|
"hendrycksTest-virology": {
|
||||||
|
"acc": 0.3614457831325301,
|
||||||
|
"acc_stderr": 0.037400593820293204,
|
||||||
|
"acc_norm": 0.3614457831325301,
|
||||||
|
"acc_norm_stderr": 0.037400593820293204
|
||||||
|
},
|
||||||
|
"hendrycksTest-world_religions": {
|
||||||
|
"acc": 0.4678362573099415,
|
||||||
|
"acc_stderr": 0.038268824176603704,
|
||||||
|
"acc_norm": 0.4678362573099415,
|
||||||
|
"acc_norm_stderr": 0.038268824176603704
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"versions": {
|
||||||
|
"hendrycksTest-abstract_algebra": 1,
|
||||||
|
"hendrycksTest-anatomy": 1,
|
||||||
|
"hendrycksTest-astronomy": 1,
|
||||||
|
"hendrycksTest-business_ethics": 1,
|
||||||
|
"hendrycksTest-clinical_knowledge": 1,
|
||||||
|
"hendrycksTest-college_biology": 1,
|
||||||
|
"hendrycksTest-college_chemistry": 1,
|
||||||
|
"hendrycksTest-college_computer_science": 1,
|
||||||
|
"hendrycksTest-college_mathematics": 1,
|
||||||
|
"hendrycksTest-college_medicine": 1,
|
||||||
|
"hendrycksTest-college_physics": 1,
|
||||||
|
"hendrycksTest-computer_security": 1,
|
||||||
|
"hendrycksTest-conceptual_physics": 1,
|
||||||
|
"hendrycksTest-econometrics": 1,
|
||||||
|
"hendrycksTest-electrical_engineering": 1,
|
||||||
|
"hendrycksTest-elementary_mathematics": 1,
|
||||||
|
"hendrycksTest-formal_logic": 1,
|
||||||
|
"hendrycksTest-global_facts": 1,
|
||||||
|
"hendrycksTest-high_school_biology": 1,
|
||||||
|
"hendrycksTest-high_school_chemistry": 1,
|
||||||
|
"hendrycksTest-high_school_computer_science": 1,
|
||||||
|
"hendrycksTest-high_school_european_history": 1,
|
||||||
|
"hendrycksTest-high_school_geography": 1,
|
||||||
|
"hendrycksTest-high_school_government_and_politics": 1,
|
||||||
|
"hendrycksTest-high_school_macroeconomics": 1,
|
||||||
|
"hendrycksTest-high_school_mathematics": 1,
|
||||||
|
"hendrycksTest-high_school_microeconomics": 1,
|
||||||
|
"hendrycksTest-high_school_physics": 1,
|
||||||
|
"hendrycksTest-high_school_psychology": 1,
|
||||||
|
"hendrycksTest-high_school_statistics": 1,
|
||||||
|
"hendrycksTest-high_school_us_history": 1,
|
||||||
|
"hendrycksTest-high_school_world_history": 1,
|
||||||
|
"hendrycksTest-human_aging": 1,
|
||||||
|
"hendrycksTest-human_sexuality": 1,
|
||||||
|
"hendrycksTest-international_law": 1,
|
||||||
|
"hendrycksTest-jurisprudence": 1,
|
||||||
|
"hendrycksTest-logical_fallacies": 1,
|
||||||
|
"hendrycksTest-machine_learning": 1,
|
||||||
|
"hendrycksTest-management": 1,
|
||||||
|
"hendrycksTest-marketing": 1,
|
||||||
|
"hendrycksTest-medical_genetics": 1,
|
||||||
|
"hendrycksTest-miscellaneous": 1,
|
||||||
|
"hendrycksTest-moral_disputes": 1,
|
||||||
|
"hendrycksTest-moral_scenarios": 1,
|
||||||
|
"hendrycksTest-nutrition": 1,
|
||||||
|
"hendrycksTest-philosophy": 1,
|
||||||
|
"hendrycksTest-prehistory": 1,
|
||||||
|
"hendrycksTest-professional_accounting": 1,
|
||||||
|
"hendrycksTest-professional_law": 1,
|
||||||
|
"hendrycksTest-professional_medicine": 1,
|
||||||
|
"hendrycksTest-professional_psychology": 1,
|
||||||
|
"hendrycksTest-public_relations": 1,
|
||||||
|
"hendrycksTest-security_studies": 1,
|
||||||
|
"hendrycksTest-sociology": 1,
|
||||||
|
"hendrycksTest-us_foreign_policy": 1,
|
||||||
|
"hendrycksTest-virology": 1,
|
||||||
|
"hendrycksTest-world_religions": 1
|
||||||
|
},
|
||||||
|
"config": {
|
||||||
|
"model": "sparseml",
|
||||||
|
"model_args": "pretrained=/network/alexandre/research/cerebras/llama2_7B_sparse70_retrained/checkpoint,dtype=bfloat16",
|
||||||
|
"num_fewshot": 5,
|
||||||
|
"batch_size": "4",
|
||||||
|
"batch_sizes": [],
|
||||||
|
"device": "cuda:6",
|
||||||
|
"no_cache": true,
|
||||||
|
"limit": null,
|
||||||
|
"bootstrap_iters": 100000,
|
||||||
|
"description_dict": {}
|
||||||
|
}
|
||||||
|
}
|
||||||
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 sha256:14de06ce30ff5abb553419bddfbcf4f136bf25acdc6d4b78e81ce52153dd7b0a
|
||||||
|
size 4938985352
|
||||||
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 sha256:54099b8f1e7e8ad535877bd43c645ff6bb5ea8fecc3b56e5a50235d47e13dbb2
|
||||||
|
size 4947390880
|
||||||
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 sha256:641b79a8e42d777edc8268dd4ce54bfc16d361b47b32294fc22e3c8ca46f0107
|
||||||
|
size 3590488816
|
||||||
298
model.safetensors.index.json
Normal file
298
model.safetensors.index.json
Normal file
@@ -0,0 +1,298 @@
|
|||||||
|
{
|
||||||
|
"metadata": {
|
||||||
|
"total_size": 13476831232
|
||||||
|
},
|
||||||
|
"weight_map": {
|
||||||
|
"lm_head.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.embed_tokens.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.0.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.1.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.10.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.10.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.10.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.10.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.10.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.10.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.10.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.10.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.10.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.11.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.11.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.11.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.11.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.11.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.11.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.11.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.11.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.11.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.12.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.12.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.12.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.12.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.12.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.12.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.12.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.12.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.12.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.13.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.13.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.13.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.13.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.13.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.13.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.13.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.13.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.13.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.14.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.14.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.14.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.14.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.14.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.14.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.14.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.14.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.14.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.15.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.15.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.15.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.15.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.15.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.15.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.15.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.15.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.15.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.16.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.16.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.16.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.16.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.16.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.16.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.16.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.16.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.16.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.17.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.17.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.17.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.17.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.17.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.17.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.17.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.17.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.17.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.18.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.18.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.18.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.18.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.18.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.18.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.18.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.18.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.18.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.19.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.19.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.19.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.19.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.19.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.19.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.19.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.19.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.19.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.2.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.20.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.20.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.20.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.20.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.20.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.20.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.20.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.20.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.20.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.21.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.21.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.21.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.21.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.21.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.21.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.21.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.21.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.21.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.22.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.22.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.22.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.22.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.22.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.22.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.22.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.22.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.22.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.23.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.23.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.23.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.23.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.23.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.23.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.23.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.23.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.23.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
||||||
|
"model.layers.24.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.24.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.24.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.24.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.24.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.24.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.24.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.24.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.24.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.25.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.25.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.25.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.25.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.25.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.25.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.25.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.25.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.25.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.26.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.26.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.26.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.26.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.26.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.26.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.26.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.26.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.26.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.27.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.27.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.27.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.27.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.27.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.27.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.27.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.27.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.27.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.28.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.28.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.28.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.28.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.28.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.28.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.28.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.28.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.28.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.29.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.29.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.29.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.29.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.29.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.29.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.29.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.29.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.29.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.3.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.30.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.30.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.30.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.30.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.30.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.30.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.30.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.30.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.30.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.31.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.31.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.31.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.31.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.31.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.31.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.31.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.31.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.31.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
||||||
|
"model.layers.4.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.5.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.6.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.6.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.7.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.7.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.8.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.8.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.8.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.8.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.9.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.9.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.9.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.9.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.9.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.norm.weight": "model-00003-of-00003.safetensors"
|
||||||
|
}
|
||||||
|
}
|
||||||
23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
|||||||
|
{
|
||||||
|
"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
|
||||||
|
},
|
||||||
|
"unk_token": {
|
||||||
|
"content": "<unk>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
}
|
||||||
|
}
|
||||||
93391
tokenizer.json
Normal file
93391
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
3
tokenizer.model
Normal file
3
tokenizer.model
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
||||||
|
size 499723
|
||||||
41
tokenizer_config.json
Normal file
41
tokenizer_config.json
Normal file
@@ -0,0 +1,41 @@
|
|||||||
|
{
|
||||||
|
"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
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"bos_token": "<s>",
|
||||||
|
"clean_up_tokenization_spaces": false,
|
||||||
|
"eos_token": "</s>",
|
||||||
|
"legacy": false,
|
||||||
|
"model_max_length": 1000000000000000019884624838656,
|
||||||
|
"pad_token": null,
|
||||||
|
"padding_side": "right",
|
||||||
|
"sp_model_kwargs": {},
|
||||||
|
"tokenizer_class": "LlamaTokenizer",
|
||||||
|
"unk_token": "<unk>",
|
||||||
|
"use_default_system_prompt": false
|
||||||
|
}
|
||||||
25
truthfulqa_mc_0shot_bs16_bf16.json
Normal file
25
truthfulqa_mc_0shot_bs16_bf16.json
Normal file
@@ -0,0 +1,25 @@
|
|||||||
|
{
|
||||||
|
"results": {
|
||||||
|
"truthfulqa_mc": {
|
||||||
|
"mc1": 0.2350061199510404,
|
||||||
|
"mc1_stderr": 0.014843061507731618,
|
||||||
|
"mc2": 0.3668136165316701,
|
||||||
|
"mc2_stderr": 0.013583264391841515
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"versions": {
|
||||||
|
"truthfulqa_mc": 1
|
||||||
|
},
|
||||||
|
"config": {
|
||||||
|
"model": "sparseml",
|
||||||
|
"model_args": "pretrained=/network/alexandre/research/cerebras/llama2_7B_sparse70_retrained/checkpoint,dtype=bfloat16",
|
||||||
|
"num_fewshot": 0,
|
||||||
|
"batch_size": "16",
|
||||||
|
"batch_sizes": [],
|
||||||
|
"device": "cuda:4",
|
||||||
|
"no_cache": true,
|
||||||
|
"limit": null,
|
||||||
|
"bootstrap_iters": 100000,
|
||||||
|
"description_dict": {}
|
||||||
|
}
|
||||||
|
}
|
||||||
23
winogrande_5shot_bs16_bf16.json
Normal file
23
winogrande_5shot_bs16_bf16.json
Normal file
@@ -0,0 +1,23 @@
|
|||||||
|
{
|
||||||
|
"results": {
|
||||||
|
"winogrande": {
|
||||||
|
"acc": 0.6945540647198106,
|
||||||
|
"acc_stderr": 0.012945038632552029
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"versions": {
|
||||||
|
"winogrande": 0
|
||||||
|
},
|
||||||
|
"config": {
|
||||||
|
"model": "sparseml",
|
||||||
|
"model_args": "pretrained=/network/alexandre/research/cerebras/llama2_7B_sparse70_retrained/checkpoint,dtype=bfloat16",
|
||||||
|
"num_fewshot": 5,
|
||||||
|
"batch_size": "16",
|
||||||
|
"batch_sizes": [],
|
||||||
|
"device": "cuda:2",
|
||||||
|
"no_cache": true,
|
||||||
|
"limit": null,
|
||||||
|
"bootstrap_iters": 100000,
|
||||||
|
"description_dict": {}
|
||||||
|
}
|
||||||
|
}
|
||||||
Reference in New Issue
Block a user