Closed jim-plus closed 7 months ago
The problem appears to be reflected in config.json, quantization_config/calibration/length. For some reason it's been cut to only 2K context length. Changing the value manually to 8192 did not fix the problem when loading in ooba.
{
"_name_or_path": "SanjiWatsuki/Kunoichi-7B",
"architectures": [
"MistralForCausalLM"
],
"attention_dropout": 0.0,
"bos_token_id": 1,
"eos_token_id": 2,
"hidden_act": "silu",
"hidden_size": 4096,
"initializer_range": 0.02,
"intermediate_size": 14336,
"max_position_embeddings": 8192,
"model_type": "mistral",
"num_attention_heads": 32,
"num_hidden_layers": 32,
"num_key_value_heads": 8,
"rms_norm_eps": 1e-05,
"rope_theta": 10000.0,
"sliding_window": 4096,
"tie_word_embeddings": false,
"torch_dtype": "bfloat16",
"transformers_version": "4.38.2",
"use_cache": true,
"vocab_size": 32000,
"quantization_config": {
"quant_method": "exl2",
"version": "0.0.16",
"bits": 8.0,
"head_bits": 6,
"calibration": {
"rows": 100,
"length": 2048,
"dataset": "(default)"
}
}
}
I would open an issue in the text-generation-webui repo for this. Something is overriding the context length and I can't tell what it is since the model works correctly in ExLlama.
The issue is actually the "bits" metadata key. See https://github.com/oobabooga/text-generation-webui/issues/5750#issuecomment-2024442282
I suppose you could just remove the "quantization_config" key altogether and it should behave as before, until there's a better fix.
Unsure if this is an exllamav2 issue or a llama-cpp issue. (In contrast, GGUF Q8_0 conversion of BF16 worked.) When I loaded it via ooba/llama-cpp, inference broke when context length exceeded 4K, although the underlying model was 8K.
BF16 model used in testing. https://huggingface.co/grimjim/kunoichi-lemon-royale-7B