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mixtral-8x22B-v0.3-original

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Unofficial Mistral Community 191

@ehartford https://github.com/huggingface/transformers/blob/main/src/transformers/models/mixtral/convert_mixtral_weights_to_hf.py

I'm aware of the script.

How to use it to convert 8x22b is far from self evident.

@ehartford https://huggingface.co/v2ray/Mixtral-8x22B-v0.1/blob/main/convert.py

python convert.py --input-dir /path/to/original --model-size 22B --output-dir /path/to/save

Thanks!

I will do this immediately

max_position_embeddings = params["max_seq_len"]
                             ~~~~~~^^^^^^^^^^^^^^^

It wants "max_seq_len"

I see there isn't one in params.json

{
    "dim": 6144,
    "n_layers": 56,
    "head_dim": 128,
    "hidden_dim": 16384,
    "n_heads": 48,
    "n_kv_heads": 8,
    "norm_eps": 1e-05,
    "vocab_size": 32768,
    "rope_theta": 1000000.0,
    "moe": {
        "num_experts": 8,
        "num_experts_per_tok": 2
    }
}

I will try setting it to 32768

I thought it was 64k?

Ok thank you 😊

ok that worked, but didn't create a tokenizer

it came with this file
tokenizer.model.v3

and no tokenizer.config file

ok looks like maybe I need to rename that to tokenizer.model then rerun

@ehartford I just copied the tokenizer from 8x7B when I did conversion for 8x22B v0.1 since it's the same one.
Wait a minute v0.3?!

nope that didn't do it

oh yeah I could copy the tokenizer from mistral-7b-v0.3

ok I think I got it. Uploading

@ehartford I just copied the tokenizer from 8x7B since it's the same one.
Wait a minute v0.3?!

yeah - they say it's the same but with a new tokenizer

finished uploading mistral-community/mixtral-8x22B-v0.3