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Browse filesManticore-13b-Chat-Pyg with the Guanaco 13b qLoRa from TimDettmers applied
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Quantized by mindrage to 4bit GPTQ, groupsize 128, no-act-order.
Command used to quantize: python3 llama.py Manticore-13B-Chat-Pyg-Guanaco-GPTQ-4bit-128g.no-act-order.safetensors c4 --wbits 4 --true-sequential --groupsize 128 --save_safetensors
- Manticore-13B-Chat-Pyg-Guanaco-GPTQ-4bit-128g.no-act-order.safetensors +3 -0
- README.md +23 -0
- config.json +24 -0
- generation_config.json +7 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +33 -0
Manticore-13B-Chat-Pyg-Guanaco-GPTQ-4bit-128g.no-act-order.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:4483891466081bf2d1036a2d4b3b76114a0a39aa4cdd1ccb7a2b2dd3ac0b3af8
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size 7255159216
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README.md
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---
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tags: ["manticore"]
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---
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openaccess-ai-collective Manticore-13b-Chat-Pyg with the Guanaco 13b qLoRa from TimDettmers applied, uncensored
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---
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Quantized by mindrage to 4bit GPTQ, groupsize 128, no-act-order.
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Command used to quantize:
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python3 llama.py Manticore-13B-Chat-Pyg-Guanaco-GPTQ-4bit-128g.no-act-order.safetensors c4 --wbits 4 --true-sequential --groupsize 128 --save_safetensors
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The model seems to have benefited from further augmentation by openaccess-ai-collective with the Guanaco qLora by TimDettmer, pending further testing.
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It is very diverse and can generate output that seems eerily smart at times.
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Promptimg style:
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user: "USER:"
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bot: "ASSISTANT:"
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context: "This is a conversation between an advanced AI and a human user."
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config.json
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{
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"_name_or_path": "openaccess-ai-collective/manticore-13b-chat-pyg",
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"architectures": [
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"LlamaForCausalLM"
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],
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 5120,
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"initializer_range": 0.02,
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"intermediate_size": 13824,
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"max_position_embeddings": 2048,
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"max_sequence_length": 2048,
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"model_type": "llama",
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"num_attention_heads": 40,
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"num_hidden_layers": 40,
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"pad_token_id": 0,
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"rms_norm_eps": 1e-06,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.28.0",
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"use_cache": true,
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"vocab_size": 32000
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"pad_token_id": 0,
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"transformers_version": "4.28.0"
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}
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
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size 499723
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tokenizer_config.json
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{
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"add_bos_token": true,
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"add_eos_token": false,
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"bos_token": {
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"__type": "AddedToken",
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"content": "<s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"clean_up_tokenization_spaces": false,
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"eos_token": {
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"__type": "AddedToken",
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"model_max_length": 2048,
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"pad_token": null,
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"sp_model_kwargs": {},
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": {
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"__type": "AddedToken",
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"content": "<unk>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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}
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}
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