Comments (2)
Your model solves a lot of problems of gemma-7b-it
(With it's tokenizer it's great for Ukrainian)
Can you please do the same for 2b one
It's very interesting size
Hope it's not take a lot of Your time
from openchat.
I'm also wondering if it is full weights fine tuned or Lora fine tuned of Gemma?
Any public info on the training of it?
from openchat.
Related Issues (20)
- in llama.cpp load gguf has some issue in it
- Error running new model openchat-3.5-0106-gemma on RTX 4090 24GB machine, works with older mistral based model HOT 2
- llama_model_load: error loading model: create_tensor: tensor 'output.weight' not found HOT 1
- Was the chat template applied in ochat/config/conversation_template.py?
- openchat.team is down for 3 days HOT 1
- Error when using openchat/openchat-3.5-0106-gemma in text-generation-inference
- WARNING: Error in configuration: macro '\frac' failed its substitution!
- weighted_token_accuracy
- about data
- For ๐ปOnline Demo It has been broken out. HOT 2
- Single GPU vs multiple GPU (tensor parallel) suggestion for API Server HOT 3
- repeat the output content until the maximum output length is set HOT 2
- A question about the prefix of only SFT HOT 1
- opchatdataset.estimate_num_batches returns 0 at the beginning of training, and training-stuck problem HOT 1
- use instructor in openchat HOT 1
- huggingface down: openchat can't be started HOT 1
- About performance of LLama (llama2, llama3) model HOT 1
- License needs copyright template filled out
- Why do you also prepend "GPTx" to the "User:"?
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from openchat.