初始化项目,由ModelHub XC社区提供模型
Model: duyntnet/Eros_Scribe-7b-imatrix-GGUF Source: Original Platform
This commit is contained in:
105
README.md
Normal file
105
README.md
Normal file
@@ -0,0 +1,105 @@
|
||||
---
|
||||
license: other
|
||||
language:
|
||||
- en
|
||||
pipeline_tag: text-generation
|
||||
inference: false
|
||||
tags:
|
||||
- transformers
|
||||
- gguf
|
||||
- imatrix
|
||||
- Eros_Scribe-7b
|
||||
---
|
||||
Quantizations of https://huggingface.co/OmnicromsBrain/Eros_Scribe-7b
|
||||
|
||||
|
||||
### Open source inference clients/UIs
|
||||
* [llama.cpp](https://github.com/ggerganov/llama.cpp)
|
||||
* [KoboldCPP](https://github.com/LostRuins/koboldcpp)
|
||||
* [ollama](https://github.com/ollama/ollama)
|
||||
* [text-generation-webui](https://github.com/oobabooga/text-generation-webui)
|
||||
* [jan](https://github.com/janhq/jan)
|
||||
* [GPT4All](https://github.com/nomic-ai/gpt4all)
|
||||
|
||||
### Closed source inference clients/UIs
|
||||
* [LM Studio](https://lmstudio.ai/)
|
||||
* [Backyard AI](https://backyard.ai/)
|
||||
* More will be added...
|
||||
---
|
||||
|
||||
# From original readme
|
||||
|
||||
This model was created for the purpose of writing **NSFW Prose** but it's also very good at **RP**.
|
||||
|
||||
Over a dozen models and at least 25 dataset were involved in this merge.
|
||||
Eros_Scribe-7b is a merge of the following models:
|
||||
|
||||
* [OmnicromsBrain/EverythingBagel-DPO-7B](https://huggingface.co/OmnicromsBrain/EverythingBagel-DPO-7B)
|
||||
* jondurbin/bagel-dpo-7b-v0.5
|
||||
* SanjiWatsuki/Silicon-Maid-7B
|
||||
* chargoddard/loyal-piano-m7
|
||||
* NeverSleep/Noromaid-7b-v0.2
|
||||
* athirdpath/NSFW_DPO_vmgb-7b
|
||||
* xDAN-AI/xDAN-L1-Chat-RL-v1
|
||||
|
||||
* [OmnicromsBrain/ToppyCox-7B](https://huggingface.co/OmnicromsBrain/ToppyCox-7B)
|
||||
* N8Programs/Coxcomb
|
||||
* Undi95/Toppy-M-7B
|
||||
* openchat/openchat_3.5
|
||||
* NousResearch/Nous-Capybara-7B-V1.9
|
||||
* HuggingFaceH4/zephyr-7b-beta
|
||||
* Undi95/zephyr-7b-beta-pippa-sharegpt
|
||||
* Undi95/Nous-Capybara-7B-V1.9-120-Days
|
||||
* Undi95/openchat_3.5-LimaRP-13B
|
||||
* lemonilia/AshhLimaRP-Mistral-7B
|
||||
* mistralai/Mistral-7B-v0.1
|
||||
|
||||
|
||||
BTW the name was suggested by Mistral 8x7b instruct
|
||||
|
||||
|
||||
## 🧩 Configuration
|
||||
|
||||
```yaml
|
||||
slices:
|
||||
- sources:
|
||||
- model: OmnicromsBrain/EverythingBagel-DPO-7B
|
||||
layer_range: [0, 32]
|
||||
- model: OmnicromsBrain/ToppyCox-7B
|
||||
layer_range: [0, 32]
|
||||
merge_method: slerp
|
||||
base_model: OmnicromsBrain/EverythingBagel-DPO-7B
|
||||
parameters:
|
||||
t:
|
||||
- filter: self_attn
|
||||
value: [0, 0.5, 0.3, 0.7, 1]
|
||||
- filter: mlp
|
||||
value: [1, 0.5, 0.7, 0.3, 0]
|
||||
- value: 0.5
|
||||
dtype: bfloat16
|
||||
```
|
||||
|
||||
## 💻 Usage
|
||||
|
||||
```python
|
||||
!pip install -qU transformers accelerate
|
||||
|
||||
from transformers import AutoTokenizer
|
||||
import transformers
|
||||
import torch
|
||||
|
||||
model = "OmnicromsBrain/Eros_Scribe-7b"
|
||||
messages = [{"role": "user", "content": "What is a large language model?"}]
|
||||
|
||||
tokenizer = AutoTokenizer.from_pretrained(model)
|
||||
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
|
||||
pipeline = transformers.pipeline(
|
||||
"text-generation",
|
||||
model=model,
|
||||
torch_dtype=torch.float16,
|
||||
device_map="auto",
|
||||
)
|
||||
|
||||
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
|
||||
print(outputs[0]["generated_text"])
|
||||
```
|
||||
Reference in New Issue
Block a user