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Model: IlyaGusev/saiga_gemma2_9b Source: Original Platform
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---
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language:
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- ru
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datasets:
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- IlyaGusev/saiga_scored
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- IlyaGusev/saiga_preferences
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license: gemma
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---
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# Saiga/Gemma2 9B, Russian Gemma-2-based chatbot
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Based on [Gemma-2 9B Instruct](https://huggingface.co/google/gemma-2-9b-it).
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## Prompt format
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Gemma-2 prompt format:
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```
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<start_of_turn>system
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Ты — Сайга, русскоязычный автоматический ассистент. Ты разговариваешь с людьми и помогаешь им.<end_of_turn>
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<start_of_turn>user
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Как дела?<end_of_turn>
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<start_of_turn>model
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Отлично, а у тебя?<end_of_turn>
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<start_of_turn>user
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Шикарно. Как пройти в библиотеку?<end_of_turn>
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<start_of_turn>model
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```
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## Code example
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```python
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# Исключительно ознакомительный пример.
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# НЕ НАДО ТАК ИНФЕРИТЬ МОДЕЛЬ В ПРОДЕ.
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# См. https://github.com/vllm-project/vllm или https://github.com/huggingface/text-generation-inference
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer, GenerationConfig
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MODEL_NAME = "IlyaGusev/saiga_gemma2_10b"
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model = AutoModelForCausalLM.from_pretrained(
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MODEL_NAME,
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load_in_8bit=True,
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torch_dtype=torch.bfloat16,
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device_map="auto"
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)
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model.eval()
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tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
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generation_config = GenerationConfig.from_pretrained(MODEL_NAME)
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print(generation_config)
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inputs = ["Почему трава зеленая?", "Сочини длинный рассказ, обязательно упоминая следующие объекты. Дано: Таня, мяч"]
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for query in inputs:
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prompt = tokenizer.apply_chat_template([{
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"role": "user",
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"content": query
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}], tokenize=False, add_generation_prompt=True)
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data = tokenizer(prompt, return_tensors="pt", add_special_tokens=False)
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data = {k: v.to(model.device) for k, v in data.items()}
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output_ids = model.generate(**data, generation_config=generation_config)[0]
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output_ids = output_ids[len(data["input_ids"][0]):]
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output = tokenizer.decode(output_ids, skip_special_tokens=True).strip()
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print(query)
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print(output)
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print()
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print("==============================")
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print()
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```
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## Versions
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v2:
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- [258869abdf95aca1658b069bcff69ea6d2299e7f](https://huggingface.co/IlyaGusev/saiga_gemma2_9b/commit/258869abdf95aca1658b069bcff69ea6d2299e7f)
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- Other name: saiga_gemma2_9b_abliterated_sft_m3_d9_abliterated_kto_m1_d13
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- SFT dataset config: [sft_d9.json](https://github.com/IlyaGusev/saiga/blob/main/configs/datasets/sft_d9.json)
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- SFT model config: [saiga_gemma2_9b_sft_m2.json](https://github.com/IlyaGusev/saiga/blob/main/configs/models/saiga_gemma2_9b_sft_m3.json)
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- KTO dataset config: [pref_d11.json](https://github.com/IlyaGusev/saiga/blob/main/configs/datasets/pref_d13.json)
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- KTO model config: [saiga_gemma2_9b_kto_m1.json](https://github.com/IlyaGusev/saiga/blob/main/configs/models/saiga_gemma2_9b_kto_m1.json)
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- SFT wandb: [link](https://wandb.ai/ilyagusev/rulm_self_instruct/runs/pjsuik1l)
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- KTO wandb: [link](https://wandb.ai/ilyagusev/rulm_self_instruct/runs/dsxwvyyx)
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v1:
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- [fa63cfe898ee6372419b8e38d35f4c41756d2c22](https://huggingface.co/IlyaGusev/saiga_gemma2_9b/commit/fa63cfe898ee6372419b8e38d35f4c41756d2c22)
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- Other name: saiga_gemma2_9b_abliterated_sft_m2_d9_abliterated_kto_m1_d11
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- SFT dataset config: [sft_d9.json](https://github.com/IlyaGusev/saiga/blob/main/configs/datasets/sft_d9.json)
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- SFT model config: [saiga_gemma2_9b_sft_m2.json](https://github.com/IlyaGusev/saiga/blob/main/configs/models/saiga_gemma2_9b_sft_m2.json)
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- KTO dataset config: [pref_d11.json](https://github.com/IlyaGusev/saiga/blob/main/configs/datasets/pref_d11.json)
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- KTO model config: [saiga_gemma2_9b_kto_m1.json](https://github.com/IlyaGusev/saiga/blob/main/configs/models/saiga_gemma2_9b_kto_m1.json)
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- SFT wandb: [link](https://wandb.ai/ilyagusev/rulm_self_instruct/runs/af49qmbb)
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- KTO wandb: [link](https://wandb.ai/ilyagusev/rulm_self_instruct/runs/5bt7729x)
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## Evaluation
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* Dataset: https://github.com/IlyaGusev/rulm/blob/master/self_instruct/data/tasks.jsonl
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* Framework: https://github.com/tatsu-lab/alpaca_eval
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* Evaluator: alpaca_eval_cot_gpt4_turbo_fn
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Pivot: gemma_2_9b_it_abliterated
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| model | length_controlled_winrate | win_rate | standard_error | avg_length |
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|-----|-----|-----|-----|-----|
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|gemma_2_9b_it_abliterated | 50.00 | 50.00 | 0.00 | 1126 |
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|saiga_gemma2_9b, v1 | 48.66 | 45.54 | 2.45 | 1066 |
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|saiga_gemms2_9b, v2 | 47.77 | 45.30 | 2.45 | 1074 |
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config.json
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{
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"_name_or_path": "models/saiga_9b_abliterated_sft_m2_d9_abliterated",
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"architectures": [
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"Gemma2ForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"attn_logit_softcapping": 50.0,
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"bos_token_id": 2,
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"cache_implementation": "hybrid",
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"eos_token_id": 1,
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"final_logit_softcapping": 30.0,
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"head_dim": 256,
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"hidden_act": "gelu_pytorch_tanh",
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"hidden_activation": "gelu_pytorch_tanh",
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"hidden_size": 3584,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 8192,
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"model_type": "gemma2",
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"num_attention_heads": 16,
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"num_hidden_layers": 42,
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"num_key_value_heads": 8,
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"pad_token_id": 0,
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"query_pre_attn_scalar": 256,
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"rms_norm_eps": 1e-06,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"sliding_window_size": 4096,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.42.4",
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"use_cache": true,
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"vocab_size": 256000
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}
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{
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"_from_model_config": true,
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"bos_token_id": 2,
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"cache_implementation": "hybrid",
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"do_sample": true,
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"eos_token_id": 1,
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"max_new_tokens": 512,
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"pad_token_id": 0,
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"temperature": 0.5,
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"top_k": 30,
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"top_p": 0.9,
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"transformers_version": "4.42.4"
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}
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"model.layers.8.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.norm.weight": "model-00004-of-00004.safetensors"
|
||||
}
|
||||
}
|
||||
16
special_tokens_map.json
Normal file
16
special_tokens_map.json
Normal file
@@ -0,0 +1,16 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
"<start_of_turn>",
|
||||
"<end_of_turn>"
|
||||
],
|
||||
"bos_token": "<bos>",
|
||||
"eos_token": "<eos>",
|
||||
"pad_token": "<pad>",
|
||||
"unk_token": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:7da53ca29fb16f6b2489482fc0bc6a394162cdab14d12764a1755ebc583fea79
|
||||
size 17518525
|
||||
3
tokenizer.model
Normal file
3
tokenizer.model
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:61a7b147390c64585d6c3543dd6fc636906c9af3865a5548f27f31aee1d4c8e2
|
||||
size 4241003
|
||||
1761
tokenizer_config.json
Normal file
1761
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user