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https://github.com/oobabooga/text-generation-webui.git
synced 2024-11-21 23:57:58 +01:00
Add customizable ban tokens (#3899)
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@ -70,6 +70,7 @@ async def run(user_input, history):
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'add_bos_token': True,
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'truncation_length': 2048,
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'ban_eos_token': False,
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'custom_token_bans': '',
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'skip_special_tokens': True,
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'stopping_strings': []
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}
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@ -64,6 +64,7 @@ def run(user_input, history):
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'add_bos_token': True,
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'truncation_length': 2048,
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'ban_eos_token': False,
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'custom_token_bans': '',
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'skip_special_tokens': True,
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'stopping_strings': []
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}
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@ -53,6 +53,7 @@ async def run(context):
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'add_bos_token': True,
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'truncation_length': 2048,
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'ban_eos_token': False,
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'custom_token_bans': '',
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'skip_special_tokens': True,
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'stopping_strings': []
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}
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@ -45,6 +45,7 @@ def run(prompt):
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'add_bos_token': True,
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'truncation_length': 2048,
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'ban_eos_token': False,
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'custom_token_bans': '',
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'skip_special_tokens': True,
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'stopping_strings': []
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}
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@ -49,6 +49,7 @@ def build_parameters(body, chat=False):
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'seed': int(body.get('seed', -1)),
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'add_bos_token': bool(body.get('add_bos_token', True)),
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'truncation_length': int(body.get('truncation_length', body.get('max_context_length', 2048))),
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'custom_token_bans': str(body.get('custom_token_bans', '')),
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'ban_eos_token': bool(body.get('ban_eos_token', False)),
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'skip_special_tokens': bool(body.get('skip_special_tokens', True)),
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'custom_stopping_strings': '', # leave this blank
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@ -37,6 +37,7 @@ default_req_params = {
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'guidance_scale': 1,
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'negative_prompt': '',
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'ban_eos_token': False,
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'custom_token_bans': '',
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'skip_special_tokens': True,
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'custom_stopping_strings': '',
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# 'logits_processor' - conditionally passed
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@ -108,6 +108,11 @@ class ExllamaModel:
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else:
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self.generator.disallow_tokens(None)
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if state['custom_token_bans']:
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to_ban = [int(x) for x in state['custom_token_bans'].split(',')]
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if len(to_ban) > 0:
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self.generator.disallow_tokens(self.tokenizer, to_ban)
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# Case 1: no CFG
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if state['guidance_scale'] == 1:
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self.generator.end_beam_search()
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@ -30,7 +30,7 @@ class Exllamav2Model:
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config.max_seq_len = shared.args.max_seq_len
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config.scale_pos_emb = shared.args.compress_pos_emb
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config.scale_alpha_value = shared.args.alpha_value
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model = ExLlamaV2(config)
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split = None
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@ -60,6 +60,11 @@ class Exllamav2Model:
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if state['ban_eos_token']:
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settings.disallow_tokens(self.tokenizer, [self.tokenizer.eos_token_id])
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if state['custom_token_bans']:
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to_ban = [int(x) for x in state['custom_token_bans'].split(',')]
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if len(to_ban) > 0:
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settings.disallow_tokens(self.tokenizer, to_ban)
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ids = self.tokenizer.encode(prompt)
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ids = ids[:, -get_max_prompt_length(state):]
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initial_len = ids.shape[-1]
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@ -31,6 +31,13 @@ def ban_eos_logits_processor(eos_token, input_ids, logits):
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return logits
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def custom_token_ban_logits_processor(token_ids, input_ids, logits):
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for token_id in token_ids:
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logits[token_id] = -float('inf')
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return logits
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class LlamaCppModel:
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def __init__(self):
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self.initialized = False
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@ -104,6 +111,15 @@ class LlamaCppModel:
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prompt = prompt[-get_max_prompt_length(state):]
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prompt = self.decode(prompt).decode('utf-8')
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logit_processors = LogitsProcessorList()
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if state['ban_eos_token']:
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logit_processors.append(partial(ban_eos_logits_processor, self.model.tokenizer.eos_token_id))
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if state['custom_token_bans']:
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to_ban = [int(x) for x in state['custom_token_bans'].split(',')]
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if len(to_ban) > 0:
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logit_processors.append(partial(custom_token_ban_logits_processor, to_ban))
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completion_chunks = self.model.create_completion(
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prompt=prompt,
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max_tokens=state['max_new_tokens'],
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@ -116,9 +132,7 @@ class LlamaCppModel:
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mirostat_tau=state['mirostat_tau'],
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mirostat_eta=state['mirostat_eta'],
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stream=True,
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logits_processor=LogitsProcessorList([
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partial(ban_eos_logits_processor, self.model.token_eos()),
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]) if state['ban_eos_token'] else None,
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logits_processor=logit_processors,
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)
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output = ""
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@ -150,6 +150,7 @@ loaders_samplers = {
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'guidance_scale',
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'negative_prompt',
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'ban_eos_token',
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'custom_token_bans',
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'add_bos_token',
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'skip_special_tokens',
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'auto_max_new_tokens',
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@ -176,6 +177,7 @@ loaders_samplers = {
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'guidance_scale',
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'negative_prompt',
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'ban_eos_token',
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'custom_token_bans',
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'add_bos_token',
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'skip_special_tokens',
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'auto_max_new_tokens',
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@ -191,6 +193,7 @@ loaders_samplers = {
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'guidance_scale',
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'negative_prompt',
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'ban_eos_token',
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'custom_token_bans',
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'auto_max_new_tokens',
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},
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'ExLlamav2': {
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@ -201,6 +204,7 @@ loaders_samplers = {
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'repetition_penalty_range',
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'seed',
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'ban_eos_token',
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'custom_token_bans',
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'auto_max_new_tokens',
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},
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'ExLlamav2_HF': {
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@ -225,6 +229,7 @@ loaders_samplers = {
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'guidance_scale',
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'negative_prompt',
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'ban_eos_token',
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'custom_token_bans',
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'add_bos_token',
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'skip_special_tokens',
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'auto_max_new_tokens',
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@ -255,6 +260,7 @@ loaders_samplers = {
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'guidance_scale',
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'negative_prompt',
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'ban_eos_token',
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'custom_token_bans',
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'add_bos_token',
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'skip_special_tokens',
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'auto_max_new_tokens',
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@ -285,6 +291,7 @@ loaders_samplers = {
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'guidance_scale',
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'negative_prompt',
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'ban_eos_token',
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'custom_token_bans',
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'add_bos_token',
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'skip_special_tokens',
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'auto_max_new_tokens',
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@ -299,6 +306,7 @@ loaders_samplers = {
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'mirostat_tau',
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'mirostat_eta',
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'ban_eos_token',
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'custom_token_bans',
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},
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'llamacpp_HF': {
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'temperature',
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@ -322,6 +330,7 @@ loaders_samplers = {
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'guidance_scale',
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'negative_prompt',
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'ban_eos_token',
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'custom_token_bans',
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'add_bos_token',
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'skip_special_tokens',
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'auto_max_new_tokens',
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@ -28,6 +28,7 @@ def default_preset():
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'num_beams': 1,
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'length_penalty': 1,
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'early_stopping': False,
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'custom_token_bans': '',
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}
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@ -49,6 +49,7 @@ settings = {
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'auto_max_new_tokens': False,
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'max_tokens_second': 0,
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'ban_eos_token': False,
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'custom_token_bans': '',
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'add_bos_token': True,
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'skip_special_tokens': True,
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'stream': True,
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@ -266,6 +266,14 @@ def generate_reply_HF(question, original_question, seed, state, stopping_strings
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if state['ban_eos_token']:
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generate_params['suppress_tokens'] = [shared.tokenizer.eos_token_id]
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if state['custom_token_bans']:
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to_ban = [int(x) for x in state['custom_token_bans'].split(',')]
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if len(to_ban) > 0:
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if generate_params.get('suppress_tokens', None):
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generate_params['suppress_tokens'] += to_ban
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else:
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generate_params['suppress_tokens'] = to_ban
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generate_params.update({'use_cache': not shared.args.no_cache})
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if shared.args.deepspeed:
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generate_params.update({'synced_gpus': True})
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@ -118,6 +118,7 @@ def list_interface_input_elements():
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'guidance_scale',
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'add_bos_token',
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'ban_eos_token',
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'custom_token_bans',
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'truncation_length',
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'custom_stopping_strings',
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'skip_special_tokens',
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@ -118,8 +118,8 @@ def create_ui(default_preset):
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with gr.Column():
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shared.gradio['auto_max_new_tokens'] = gr.Checkbox(value=shared.settings['auto_max_new_tokens'], label='auto_max_new_tokens', info='Expand max_new_tokens to the available context length.')
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shared.gradio['ban_eos_token'] = gr.Checkbox(value=shared.settings['ban_eos_token'], label='Ban the eos_token', info='Forces the model to never end the generation prematurely.')
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shared.gradio['custom_token_bans'] = gr.Textbox(value=shared.settings['custom_token_bans'] or None, label='Custom token bans', info='Specific token IDs to ban from generating, comma-separated. The IDs can be found in a tokenizer.json file.')
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shared.gradio['add_bos_token'] = gr.Checkbox(value=shared.settings['add_bos_token'], label='Add the bos_token to the beginning of prompts', info='Disabling this can make the replies more creative.')
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shared.gradio['skip_special_tokens'] = gr.Checkbox(value=shared.settings['skip_special_tokens'], label='Skip special tokens', info='Some specific models need this unset.')
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shared.gradio['stream'] = gr.Checkbox(value=shared.settings['stream'], label='Activate text streaming')
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@ -19,6 +19,7 @@ custom_stopping_strings: ''
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auto_max_new_tokens: false
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max_tokens_second: 0
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ban_eos_token: false
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custom_token_bans: ''
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add_bos_token: true
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skip_special_tokens: true
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stream: true
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