初始化项目，由ModelHub XC社区提供模型

Model: Vikhrmodels/Vikhr-7B-instruct_0.3
Source: Original Platform

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README.md

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+---
+library_name: transformers
+tags:
+- trl
+- sft
+datasets:
+- Vikhrmodels/Veles-2.5
+- dichspace/darulm
+- zjkarina/Vikhr_instruct
+---
+
+# Veles Instruct [DONT TOUCH, Under Dev]
+
+Просто лучшая русская инстракт модель теперь с CHATML
+
+Метрики, DPO, коды для запуска подьедут позже, мне если честно похуй, вам думаю вообще поебать
+
+
+
+Самый быстрый старт: https://colab.research.google.com/drive/10g5LSuzwsGVCCtiTuVM35T0LiiXwlWSQ?usp=sharing
+
+
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+model = AutoModelForCausalLM.from_pretrained("Vikhrmodels/Vikhr-7B-instruct_0.3",
+                                             device_map="auto",
+                                             attn_implementation="flash_attention_2",
+                                             torch_dtype=torch.bfloat16)
+
+tokenizer = AutoTokenizer.from_pretrained("Vikhrmodels/Vikhr-7B-instruct_0.3",use_fast=False)
+from transformers import  AutoTokenizer, pipeline
+pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
+prompts = [
+    "В чем разница между фруктом и овощем?",
+    "Годы жизни колмагорова?"]
+
+def test_inference(prompt):
+    prompt = pipe.tokenizer.apply_chat_template([{"role": "user", "content": prompt}], tokenize=False, add_generation_prompt=True)
+    print(prompt)
+    outputs = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95, eos_token_id=tokenizer.eos_token_id)
+    return outputs[0]['generated_text'][len(prompt):].strip()
+
+
+for prompt in prompts:
+    print(f"    prompt:\n{prompt}")
+    print(f"    response:\n{test_inference(prompt)}")
+    print("-"*50)
+
+```

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config.json

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+{
+  "_name_or_path": "AlexWortega/v4",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
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+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
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+  "max_position_embeddings": 32768,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.39.3",
+  "use_cache": true,
+  "vocab_size": 40002
+}

configuration.json

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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.39.3"
+}

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