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Model: BeaverLegacy/cream-phi-2-v0.2 Source: Original Platform
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43
README.md
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README.md
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---
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license: mit
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tags:
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- not-for-all-audiences
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---
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# Cream-Phi-2-v0.2 🍦🥧
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The creamiest Phi got creamier!
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- GGUF F16: https://huggingface.co/TheDrummer/cream-phi-2-v0.2/blob/main/cream-phi-2-v0.2-f16.gguf
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- GGUF Q8: https://huggingface.co/TheDrummer/cream-phi-2-v0.2/blob/main/cream-phi-2-v0.2-Q8_0.gguf
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- Cream-Phi-2 v0.1: https://huggingface.co/TheDrummer/cream-phi-2-v0.1
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## Model Description
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CreamPhi v0.2 is the **first** *of its kind* to be trained with adult themes *(a tad bit excessively)*.
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This is the second iteration without the quirks of the first.
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## Prompting Guide
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You should probably reply to the model as if you were instructing it.
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Here's an actual response from CreamPhi v0.2:
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```
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<|im_start|>assistant
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You head over to a general store. You are sure there are some things you could use. And if they are harmless, you can buy the later with Eric. The general store is led by an older lady with big glasses. But she just sits at a chair behind a cash register and chats with another old lady. A young guy, you would say between 18 and 20, takes care of all customers. You assume it’s the owner’s grandson. At least he looks somewhat similar to her.
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You look around for useful things. It’s not a big store, but he has some interesting things in his assortment. You see candy, office articles, tools for construction and garden work and much more. Suddenly a guy appears next to you. For a moment you think it’s the guy at the cash register, but he is still there and works. The guy in front of you is clearly his twin brother. And he asks friendly if you need help with anything.
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<|im_end|>
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<|im_start|>user
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The guy seems nice. Talk a little with him.<|im_end|>
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<|im_start|>assistant
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You shrug and say that you are fine, but that he is cute. The guy, who you now know as Bill, smiles friendly and offers you some candy. He seems much more relaxed than Eric. And you could really use a break from the stress of being a slave.
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Well, almost. Your stomach hurts again. Of course, you know what it is like for your body to protest against the poison. But the thought of having another attack terrifies you. It could leave you unable to fight for your freedom.
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Bill offers you some more candy for free. He is certainly a sweet guy. But you wonder what his true intentions are. Is he just a friendly neighbor? Or does he have something more in mind?
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```
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---
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tags:
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- not-for-all-audiences
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---
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added_tokens.json
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{
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}
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config.json
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config.json
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{
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"_name_or_path": "l3utterfly/phi-2-layla-v1-chatml",
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"architectures": [
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"PhiForCausalLM"
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],
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"attention_dropout": 0.0,
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"auto_map": {
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"AutoConfig": "l3utterfly/phi-2-layla-v1-chatml--configuration_phi.PhiConfig",
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"AutoModelForCausalLM": "l3utterfly/phi-2-layla-v1-chatml--modeling_phi.PhiForCausalLM"
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},
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"bos_token_id": 50256,
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"embd_pdrop": 0.0,
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"eos_token_id": 50256,
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"hidden_act": "gelu_new",
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"hidden_size": 2560,
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"initializer_range": 0.02,
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"intermediate_size": 10240,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 2048,
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"model_type": "phi",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 32,
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"partial_rotary_factor": 0.4,
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"qk_layernorm": false,
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"resid_pdrop": 0.1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.38.2",
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"use_cache": false,
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"vocab_size": 50297
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}
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configuration_phi.py
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configuration_phi.py
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# coding=utf-8
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# Copyright 2023 Microsoft and the HuggingFace Inc. team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
|
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
|
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#
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||||
# http://www.apache.org/licenses/LICENSE-2.0
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||||
#
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||||
# Unless required by applicable law or agreed to in writing, software
|
||||
# distributed under the License is distributed on an "AS IS" BASIS,
|
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
|
||||
# limitations under the License.
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""" Phi model configuration"""
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from transformers.configuration_utils import PretrainedConfig
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from transformers.utils import logging
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logger = logging.get_logger(__name__)
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PHI_PRETRAINED_CONFIG_ARCHIVE_MAP = {
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"microsoft/phi-2": "https://huggingface.co/microsoft/phi-2/resolve/main/config.json",
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}
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class PhiConfig(PretrainedConfig):
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r"""
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This is the configuration class to store the configuration of a [`PhiModel`]. It is used to instantiate an Phi
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model according to the specified arguments, defining the model architecture. Instantiating a configuration with the
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defaults will yield a similar configuration to that of the Phi
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[microsoft/phi-1](https://huggingface.co/microsoft/phi-1).
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Configuration objects inherit from [`PretrainedConfig`] and can be used to control the model outputs. Read the
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documentation from [`PretrainedConfig`] for more information.
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Args:
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vocab_size (`int`, *optional*, defaults to 51200):
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Vocabulary size of the Phi model. Defines the number of different tokens that can be represented by the
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`inputs_ids` passed when calling [`PhiModel`].
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hidden_size (`int`, *optional*, defaults to 2048):
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Dimension of the hidden representations.
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intermediate_size (`int`, *optional*, defaults to 8192):
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Dimension of the MLP representations.
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num_hidden_layers (`int`, *optional*, defaults to 24):
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Number of hidden layers in the Transformer decoder.
|
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num_attention_heads (`int`, *optional*, defaults to 32):
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Number of attention heads for each attention layer in the Transformer decoder.
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num_key_value_heads (`int`, *optional*):
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This is the number of key_value heads that should be used to implement Grouped Query Attention. If
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`num_key_value_heads=num_attention_heads`, the model will use Multi Head Attention (MHA), if
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`num_key_value_heads=1 the model will use Multi Query Attention (MQA) otherwise GQA is used. When
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converting a multi-head checkpoint to a GQA checkpoint, each group key and value head should be constructed
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by meanpooling all the original heads within that group. For more details checkout [this
|
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paper](https://arxiv.org/pdf/2305.13245.pdf). If it is not specified, will default to
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`num_attention_heads`.
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resid_pdrop (`float`, *optional*, defaults to 0.0):
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Dropout probability for mlp outputs.
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embd_pdrop (`int`, *optional*, defaults to 0.0):
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The dropout ratio for the embeddings.
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attention_dropout (`float`, *optional*, defaults to 0.0):
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The dropout ratio after computing the attention scores.
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hidden_act (`str` or `function`, *optional*, defaults to `"gelu_new"`):
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The non-linear activation function (function or string) in the decoder.
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max_position_embeddings (`int`, *optional*, defaults to 2048):
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The maximum sequence length that this model might ever be used with. Phi-1 and Phi-1.5 supports up to 2048
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tokens.
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initializer_range (`float`, *optional*, defaults to 0.02):
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The standard deviation of the truncated_normal_initializer for initializing all weight matrices.
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layer_norm_eps (`float`, *optional*, defaults to 1e-05):
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The epsilon used by the rms normalization layers.
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use_cache (`bool`, *optional*, defaults to `True`):
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Whether or not the model should return the last key/values attentions (not used by all models). Only
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relevant if `config.is_decoder=True`. Whether to tie weight embeddings or not.
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tie_word_embeddings (`bool`, *optional*, defaults to `False`):
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Whether to tie weight embeddings
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rope_theta (`float`, *optional*, defaults to 10000.0):
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The base period of the RoPE embeddings.
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rope_scaling (`Dict`, *optional*):
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Dictionary containing the scaling configuration for the RoPE embeddings. Currently supports two scaling
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strategies: linear and dynamic. Their scaling factor must be an float greater than 1. The expected format
|
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is `{"type": strategy name, "factor": scaling factor}`. When using this flag, don't update
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`max_position_embeddings` to the expected new maximum. See the following thread for more information on how
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these scaling strategies behave:
|
||||
https://www.reddit.com/r/LocalPersimmon/comments/14mrgpr/dynamically_scaled_rope_further_increases/. This
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is an experimental feature, subject to breaking API changes in future versions.
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partial_rotary_factor (`float`, *optional*, defaults to 0.5):
|
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Percentage of the query and keys which will have rotary embedding.
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qk_layernorm (`bool`, *optional*, defaults to `False`):
|
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Whether or not to normalize the Queries and Keys after projecting the hidden states.
|
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bos_token_id (`int`, *optional*, defaults to 1):
|
||||
Denotes beginning of sequences token id.
|
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eos_token_id (`int`, *optional*, defaults to 2):
|
||||
Denotes end of sequences token id.
|
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|
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Example:
|
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|
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```python
|
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>>> from transformers import PhiModel, PhiConfig
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|
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>>> # Initializing a Phi-1 style configuration
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>>> configuration = PhiConfig.from_pretrained("microsoft/phi-1")
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>>> # Initializing a model from the configuration
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>>> model = PhiModel(configuration)
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>>> # Accessing the model configuration
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>>> configuration = model.config
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```"""
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model_type = "phi"
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keys_to_ignore_at_inference = ["past_key_values"]
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def __init__(
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self,
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vocab_size=51200,
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hidden_size=2048,
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intermediate_size=8192,
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num_hidden_layers=24,
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num_attention_heads=32,
|
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num_key_value_heads=None,
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resid_pdrop=0.0,
|
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embd_pdrop=0.0,
|
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attention_dropout=0.0,
|
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hidden_act="gelu_new",
|
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max_position_embeddings=2048,
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initializer_range=0.02,
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layer_norm_eps=1e-5,
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use_cache=True,
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tie_word_embeddings=False,
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rope_theta=10000.0,
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rope_scaling=None,
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partial_rotary_factor=0.5,
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qk_layernorm=False,
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bos_token_id=1,
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eos_token_id=2,
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**kwargs,
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):
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self.vocab_size = vocab_size
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self.hidden_size = hidden_size
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self.intermediate_size = intermediate_size
|
||||
self.num_hidden_layers = num_hidden_layers
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self.num_attention_heads = num_attention_heads
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|
||||
if num_key_value_heads is None:
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num_key_value_heads = num_attention_heads
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|
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self.num_key_value_heads = num_key_value_heads
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self.resid_pdrop = resid_pdrop
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||||
self.embd_pdrop = embd_pdrop
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||||
self.attention_dropout = attention_dropout
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||||
self.hidden_act = hidden_act
|
||||
self.max_position_embeddings = max_position_embeddings
|
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self.initializer_range = initializer_range
|
||||
self.layer_norm_eps = layer_norm_eps
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self.use_cache = use_cache
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self.rope_theta = rope_theta
|
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self.rope_scaling = rope_scaling
|
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self.partial_rotary_factor = partial_rotary_factor
|
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self.qk_layernorm = qk_layernorm
|
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self._rope_scaling_validation()
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|
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super().__init__(
|
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bos_token_id=bos_token_id,
|
||||
eos_token_id=eos_token_id,
|
||||
tie_word_embeddings=tie_word_embeddings,
|
||||
**kwargs,
|
||||
)
|
||||
|
||||
# Copied from transformers.models.llama.configuration_llama.LlamaConfig._rope_scaling_validation
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def _rope_scaling_validation(self):
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"""
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Validate the `rope_scaling` configuration.
|
||||
"""
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if self.rope_scaling is None:
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return
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||||
|
||||
if not isinstance(self.rope_scaling, dict) or len(self.rope_scaling) != 2:
|
||||
raise ValueError(
|
||||
"`rope_scaling` must be a dictionary with with two fields, `type` and `factor`, "
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||||
f"got {self.rope_scaling}"
|
||||
)
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||||
rope_scaling_type = self.rope_scaling.get("type", None)
|
||||
rope_scaling_factor = self.rope_scaling.get("factor", None)
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||||
if rope_scaling_type is None or rope_scaling_type not in ["linear", "dynamic"]:
|
||||
raise ValueError(
|
||||
f"`rope_scaling`'s type field must be one of ['linear', 'dynamic'], got {rope_scaling_type}"
|
||||
)
|
||||
if rope_scaling_factor is None or not isinstance(rope_scaling_factor, float) or rope_scaling_factor <= 1.0:
|
||||
raise ValueError(f"`rope_scaling`'s factor field must be a float > 1, got {rope_scaling_factor}")
|
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3
cream-phi-2-v0.2-Q8_0.gguf
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cream-phi-2-v0.2-Q8_0.gguf
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version https://git-lfs.github.com/spec/v1
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size 2958039872
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3
cream-phi-2-v0.2-f16.gguf
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cream-phi-2-v0.2-f16.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:a2285f57ac89f866ab8b8caeb46766cfc55acd871064cef29459e7a0cecab2a0
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size 5563095840
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7
generation_config.json
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generation_config.json
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{
|
||||
"_from_model_config": true,
|
||||
"bos_token_id": 50256,
|
||||
"do_sample": true,
|
||||
"eos_token_id": 50256,
|
||||
"transformers_version": "4.38.2"
|
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}
|
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50001
merges.txt
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50001
merges.txt
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Load Diff
3
model-00001-of-00003.safetensors
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3
model-00001-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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||||
oid sha256:e05cc0a479976009b077cc50cb6f5874438122e881dc4d92a04edfac925b77a6
|
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size 4982355512
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||||
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||||
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||||
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-00003.safetensors"
|
||||
}
|
||||
}
|
||||
1369
modeling_phi.py
Normal file
1369
modeling_phi.py
Normal file
File diff suppressed because it is too large
Load Diff
30
special_tokens_map.json
Normal file
30
special_tokens_map.json
Normal file
@@ -0,0 +1,30 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"unk_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
100665
tokenizer.json
Normal file
100665
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
342
tokenizer_config.json
Normal file
342
tokenizer_config.json
Normal file
@@ -0,0 +1,342 @@
|
||||
{
|
||||
"add_prefix_space": false,
|
||||
"added_tokens_decoder": {
|
||||
"50256": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"50257": {
|
||||
"content": " ",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"50258": {
|
||||
"content": " ",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"50259": {
|
||||
"content": " ",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"50260": {
|
||||
"content": " ",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"50261": {
|
||||
"content": " ",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"50262": {
|
||||
"content": " ",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"50263": {
|
||||
"content": " ",
|
||||
"lstrip": false,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"50264": {
|
||||
"content": " ",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"50265": {
|
||||
"content": " ",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"50266": {
|
||||
"content": " ",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"special": false
|
||||
},
|
||||
"50267": {
|
||||
"content": " ",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
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|
||||
"special": false
|
||||
},
|
||||
"50268": {
|
||||
"content": " ",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
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|
||||
"special": false
|
||||
},
|
||||
"50269": {
|
||||
"content": " ",
|
||||
"lstrip": false,
|
||||
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|
||||
"rstrip": false,
|
||||
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|
||||
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|
||||
},
|
||||
"50270": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"50271": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"50272": {
|
||||
"content": " ",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"50273": {
|
||||
"content": " ",
|
||||
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|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
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|
||||
"special": false
|
||||
},
|
||||
"50274": {
|
||||
"content": " ",
|
||||
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|
||||
"normalized": true,
|
||||
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|
||||
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|
||||
"special": false
|
||||
},
|
||||
"50275": {
|
||||
"content": " ",
|
||||
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|
||||
"normalized": true,
|
||||
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|
||||
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|
||||
"special": false
|
||||
},
|
||||
"50276": {
|
||||
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|
||||
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|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"50277": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"50278": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"50279": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"50280": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"50281": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"50282": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"50283": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"50284": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"50286": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"50287": {
|
||||
"content": "\t\t\t\t\t\t\t\t\t",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
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|
||||
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|
||||
"special": false
|
||||
},
|
||||
"50288": {
|
||||
"content": "\t\t\t\t\t\t\t\t",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"50289": {
|
||||
"content": "\t\t\t\t\t\t\t",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
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|
||||
"special": false
|
||||
},
|
||||
"50290": {
|
||||
"content": "\t\t\t\t\t\t",
|
||||
"lstrip": false,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"50291": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"50292": {
|
||||
"content": "\t\t\t\t",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"50293": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"50294": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"special": false
|
||||
},
|
||||
"50295": {
|
||||
"content": "<|im_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"50296": {
|
||||
"content": "<|im_end|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"special": false
|
||||
}
|
||||
},
|
||||
"bos_token": "<|endoftext|>",
|
||||
"chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
||||
"clean_up_tokenization_spaces": true,
|
||||
"eos_token": "<|endoftext|>",
|
||||
"model_max_length": 2048,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"padding_side": "left",
|
||||
"tokenizer_class": "CodeGenTokenizer",
|
||||
"unk_token": "<|endoftext|>"
|
||||
}
|
||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user