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Model: mediocredev/open-llama-3b-v2-chat Source: Original Platform
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---
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license: apache-2.0
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model-index:
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- name: open-llama-3b-v2-chat
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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: 40.61
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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=mediocredev/open-llama-3b-v2-chat
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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:
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- type: acc_norm
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value: 70.3
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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=mediocredev/open-llama-3b-v2-chat
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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: 28.73
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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=mediocredev/open-llama-3b-v2-chat
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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: 37.84
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mediocredev/open-llama-3b-v2-chat
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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: 65.51
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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=mediocredev/open-llama-3b-v2-chat
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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:
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- type: acc
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value: 2.58
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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=mediocredev/open-llama-3b-v2-chat
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name: Open LLM Leaderboard
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---
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## Prerequisites
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In addition to pytorch and transformers, install required packages:
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```
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pip install sentencepiece
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```
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## Usage
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To use, copy the following script:
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```python
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ffrom transformers import AutoModelForCausalLM, AutoTokenizer
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model_id = 'mediocredev/open-llama-3b-v2-chat'
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tokenizer_id = 'mediocredev/open-llama-3b-v2-chat'
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tokenizer = AutoTokenizer.from_pretrained(tokenizer_id)
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model = AutoModelForCausalLM.from_pretrained(model_id)
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chat_history = [
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{"role": "user", "content": "Hello!"},
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{"role": "assistant", "content": "I am here."},
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{"role": "user", "content": "How many days are there in a leap year?"},
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]
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input_ids = tokenizer.apply_chat_template(
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chat_history, tokenize=True, add_generation_prompt=True, return_tensors="pt"
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).to(model.device)
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output_tokens = model.generate(
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input_ids,
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repetition_penalty=1.05,
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max_new_tokens=1000,
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)
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output_text = tokenizer.decode(
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output_tokens[0][len(input_ids[0]) :], skip_special_tokens=True
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)
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print(output_text)
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# Assistant: There are 366 days in a leap year, which is one more day than the standard year.
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```
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## Limitations
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mediocredev/open-llama-3b-v2-chat is based on LLaMA 3B v2. It can struggle with factual accuracy, particularly when presented with conflicting information or nuanced topics. Its outputs are not deterministic and require critical evaluation to avoid relying solely on its assertions. Additionally, its generative capabilities, while promising, can sometimes produce factually incorrect or offensive content, necessitating careful curation and human oversight. As an evolving model, LLaMA is still under development, and its limitations in areas like bias mitigation and interpretability are being actively addressed. By using this model responsibly and being aware of its shortcomings, we can unlock its potential while mitigating its risks.
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## Contact
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Welcome any feedback, questions, and discussions. Feel free to reach out: mediocredev@outlook.com
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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_mediocredev__open-llama-3b-v2-chat)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |40.93|
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|AI2 Reasoning Challenge (25-Shot)|40.61|
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|HellaSwag (10-Shot) |70.30|
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|MMLU (5-Shot) |28.73|
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|TruthfulQA (0-shot) |37.84|
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|Winogrande (5-shot) |65.51|
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|GSM8k (5-shot) | 2.58|
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config.json
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"architectures": [
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"LlamaForCausalLM"
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],
|
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"intermediate_size": 8640,
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"max_position_embeddings": 2048,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 26,
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"rope_scaling": null,
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"rope_theta": 10000.0,
|
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"tie_word_embeddings": false,
|
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"torch_dtype": "float16",
|
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"transformers_version": "4.35.2",
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"use_cache": true,
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"vocab_size": 32000
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}
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23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
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||||
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||||
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||||
3
tokenizer.model
Normal file
3
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|
||||
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41
tokenizer_config.json
Normal file
41
tokenizer_config.json
Normal file
@@ -0,0 +1,41 @@
|
||||
{
|
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"use_default_system_prompt": false
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}
|
||||
Reference in New Issue
Block a user