初始化项目，由ModelHub XC社区提供模型
Model: DeepMount00/Mistral-Ita-7b Source: Original Platform
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README.md
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README.md
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---
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language:
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- it
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license: apache-2.0
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tags:
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- text-generation-inference
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- text generation
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datasets:
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- DeepMount00/llm_ita_ultra
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---
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# Mistral-7B-v0.1 for Italian Language Text Generation
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## Model Architecture
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- **Base Model:** [Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1)
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- **Specialization:** Italian Language
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## Evaluation
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For a detailed comparison of model performance, check out the [Leaderboard for Italian Language Models](https://huggingface.co/spaces/FinancialSupport/open_ita_llm_leaderboard).
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Here's a breakdown of the performance metrics:
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| Metric | hellaswag_it acc_norm | arc_it acc_norm | m_mmlu_it 5-shot acc | Average |
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|:----------------------------|:----------------------|:----------------|:---------------------|:--------|
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| **Accuracy Normalized** | 0.6731 | 0.5502 | 0.5364 | 0.5866 |
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---
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**Quantized 4-Bit Version Available**
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A quantized 4-bit version of the model is available for use. This version offers a more efficient processing capability by reducing the precision of the model's computations to 4 bits, which can lead to faster performance and decreased memory usage. This might be particularly useful for deploying the model on devices with limited computational power or memory resources.
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For more details and to access the model, visit the following link: [Mistral-Ita-7b-GGUF 4-bit version](https://huggingface.co/DeepMount00/Mistral-Ita-7b-GGUF).
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---
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## How to Use
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How to utilize my Mistral for Italian text generation
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import torch
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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MODEL_NAME = "DeepMount00/Mistral-Ita-7b"
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model = AutoModelForCausalLM.from_pretrained(MODEL_NAME, torch_dtype=torch.bfloat16).eval()
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model.to(device)
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tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
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def generate_answer(prompt):
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messages = [
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{"role": "user", "content": prompt},
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]
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model_inputs = tokenizer.apply_chat_template(messages, return_tensors="pt").to(device)
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generated_ids = model.generate(model_inputs, max_new_tokens=200, do_sample=True,
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temperature=0.001, eos_token_id=tokenizer.eos_token_id)
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decoded = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)
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return decoded[0]
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prompt = "Come si apre un file json in python?"
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answer = generate_answer(prompt)
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print(answer)
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```
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---
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## Developer
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[Michele Montebovi]
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config.json
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config.json
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{
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"_name_or_path": "mistral_ita_complete_v4",
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"architectures": [
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"MistralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"model_type": "mistral",
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.39.3",
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"use_cache": true,
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"vocab_size": 32000
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}
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30
special_tokens_map.json
Normal file
30
special_tokens_map.json
Normal file
@@ -0,0 +1,30 @@
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"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"unk_token": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
91149
tokenizer.json
Normal file
91149
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.
43
tokenizer_config.json
Normal file
43
tokenizer_config.json
Normal file
@@ -0,0 +1,43 @@
|
||||
{
|
||||
"add_bos_token": true,
|
||||
"add_eos_token": true,
|
||||
"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>",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "</s>",
|
||||
"legacy": true,
|
||||
"model_max_length": 32768,
|
||||
"pad_token": "<unk>",
|
||||
"padding_side": "right",
|
||||
"sp_model_kwargs": {},
|
||||
"spaces_between_special_tokens": false,
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"unk_token": "<unk>",
|
||||
"use_default_system_prompt": false
|
||||
}
|
||||
Reference in New Issue
Block a user