Verify Mistral-7b added

[akiseakusa]

This should close #269 , I have updated the model list , and added tests taking reference from issue description at #259 , @p-wysocki @ilya-lavrenov @pavel-esir in the readme I have added Mistral-7b separately. please let me know if anything else can be done.

[ilya-lavrenov]

could you please also add comparison with Hugging Face?
Example is

openvino.genai/.github/workflows/causal_lm_cpp.yml

Lines 67 to 80 in f973f62

	python -c "
	import transformers
	with open('pred.txt', 'r') as file:
	predictions = file.read()
	tokenizer = transformers.LlamaTokenizer.from_pretrained('TinyLlama/TinyLlama-1.1B-Chat-v1.0')
	tokenized = tokenizer('69', return_tensors='pt')
	for beam in transformers.LlamaForCausalLM.from_pretrained('TinyLlama/TinyLlama-1.1B-Chat-v1.0').generate(**tokenized, num_beam_groups=3, num_beams=15, num_return_sequences=15, diversity_penalty=1.0, max_new_tokens=20, early_stopping=False, length_penalty=1.0, no_repeat_ngram_size=9**9, do_sample=False):
	ref = ': ' + tokenizer.decode(beam[tokenized['input_ids'].numel():], skip_special_tokens=True) + '\n'
	idx = predictions.find(ref)
	if -1 == idx:
	raise RuntimeError(f'Missing "{ref=}" from predictions')
	predictions = predictions[:idx] + predictions[idx + len(ref):]
	"
	echo 69 passed

[akiseakusa]

I have added the comparison in #346 . @ilya-lavrenov please check. please let me know if you encounter any issue.