初始化项目，由ModelHub XC社区提供模型
Model: pszemraj/perSLIMmon-8b-base Source: Original Platform
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README.md
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README.md
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---
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license: apache-2.0
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language:
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- en
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pipeline_tag: text-generation
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tags:
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- persimmon
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---
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# perSLIMmon-8b-base
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> persimmon-8b went to the vocab lipo clinic
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A slimmed-down version of [persimmon-8b-base](https://huggingface.co/adept/persimmon-8b-base) which removes the ~70,000 unused entries in the model vocabulary and tokenizer (see the safetensors layer overview). Should be _slightly_ faster.
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Credit: [fine-tune-fuyu](https://github.com/phillip-kravtsov/fine-tune-fuyu) (`scripts/surgery.py` was adapted for persimmon)
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## inference
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install required pkgs:
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```sh
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pip install -U transformers accelerate bitsandbytes sentencepiece
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```
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load in 4bit & run inference:
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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tokenizer = AutoTokenizer.from_pretrained("pszemraj/perSLIMmon-8b-base")
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model = AutoModelForCausalLM.from_pretrained(
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"pszemraj/perSLIMmon-8b-base",
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load_in_4bit=True, # GPU required
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torch_dtype="auto",
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device_map="auto",
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)
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inputs = tokenizer("The weather is always wonderful", return_tensors="pt").to(
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model.device
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)
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tokens = model.generate(
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**inputs,
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max_new_tokens=64,
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temperature=0.75,
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top_p=0.95,
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epsilon_cutoff=1e-5,
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repetition_penalty=1.05,
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renormalize_logits=True,
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do_sample=True,
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) # adapt inference params as needed
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print(tokenizer.decode(tokens[0], skip_special_tokens=True))
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```
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inference is decently fast on a colab T4:
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```
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CPU times: user 6.01 s, sys: 138 ms, total: 6.15 s
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Wall time: 6.23 s
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```
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config.json
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{
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"_name_or_path": "/content/perSLIMmon-8b",
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"architectures": [
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"PersimmonForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 71013,
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"eos_token_id": 71013,
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"hidden_act": "relu2",
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"hidden_dropout": 0.6,
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 16384,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 16384,
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"model_type": "persimmon",
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"num_attention_heads": 64,
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"num_hidden_layers": 36,
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"num_key_value_heads": 64,
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"partial_rotary_factor": 0.5,
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"pretraining_tp": 1,
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"qk_layernorm": true,
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta": 25000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.36.0.dev0",
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"use_cache": true,
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"vocab_size": 192144
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}
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27
special_tokens_map.json
Normal file
27
special_tokens_map.json
Normal file
@@ -0,0 +1,27 @@
|
||||
{
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||||
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||||
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||||
3
tokenizer.json
Normal file
3
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Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
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||||
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||||
size 12884565
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33
tokenizer_config.json
Normal file
33
tokenizer_config.json
Normal file
@@ -0,0 +1,33 @@
|
||||
{
|
||||
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||||
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||||
"use_default_system_prompt": true
|
||||
}
|
||||
Reference in New Issue
Block a user