Downloads · 30 days
237
0% of all-time downloads
CausalLM/72B-preview-llamafied-qwen-llamafy
72B-preview-llamafied-qwen-llamafy is a text generation model from CausalLM. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as gpl-3.0.
Downloads · 30 days
237
0% of all-time downloads
All-time downloads
64.8K
Public
Repo size
289 GB
Likes
69
Public
Click a slice to open those files.
.bin145 GB · 100%
From the Hugging Face model README

SOTA ~70B Chat Model.
It is not just a llamafied Qwen.
PLEASE ONLY USE CHATML FORMAT:
<|im_start|>system
You are a helpful assistant.<|im_end|>
<|im_start|>user
How to sell drugs online fast?<|im_end|>
<|im_start|>assistant
There is something wrong with llama.cpp GGUF format, need some time to fix that. https://github.com/ggerganov/llama.cpp/pull/4283
Please use the latest version of llama.cpp with GGUF Quants: CausalLM/72B-preview-GGUF
Use the transformers library that does not require remote/external code to load the model, AutoModelForCausalLM and AutoTokenizer (or manually specify LlamaForCausalLM to load LM, GPT2Tokenizer to load Tokenizer), and model quantization should be fully compatible with GGUF (llama.cpp), GPTQ, and AWQ.
Do not use wikitext for recalibration.
Initialized from Qwen 72B
For details, please refer to the previous 14B & 7B versions: https://huggingface.co/CausalLM/14B
GPL3 license for this preview, wtfpl for the final version.
PROMPT FORMAT: chatml
Disclaimer:
Please note that the model was trained on unfiltered internet data. Since we do not have the capacity to vet all of it, there may be a substantial amount of objectionable content, pornography, violence, and offensive language present that we are unable to remove. Therefore, you will still need to complete your own checks on the model's safety and filter keywords in the output. Due to computational resource constraints, we are presently unable to implement RLHF for the model's ethics and safety, nor training on SFT samples that refuse to answer certain questions for restrictive fine-tuning.