add q8_0 model
Browse files- .gitattributes +1 -0
- README.md +2 -0
- config.json +26 -0
- ggml-model-q8_0.gguf +3 -0
- tokenizer.model +3 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.gguf filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: apache-2.0
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license: apache-2.0
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[emissions-extraction-lora](https://huggingface.co/nopperl/emissions-extraction-lora) merged with the [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2), converted into GGUF format and quantized. Can be used with llama.cpp.
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config.json
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{
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"_name_or_path": "../models/Mistral-7B-Instruct-v0.2/",
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"architectures": [
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"MistralForCausalLM"
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],
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"attention_dropout": 0.0,
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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": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 32768,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 1000000.0,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.37.1",
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"use_cache": true,
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"vocab_size": 32000
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}
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ggml-model-q8_0.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:cfd7d0b909add2675a5d912d0f7b82a13537a2a68846620b6861cf612bcb53f5
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size 7695857216
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
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size 493443
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