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Browse files- README.md +27 -0
- config.json +27 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer_config.json +0 -0
README.md
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---
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base_model: []
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library_name: transformers
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tags:
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- mergekit
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- merge
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---
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<h2>Mistral-Nemo-Instruct-2407-17.5B-BRAINSTORM-20x-FORM-8</h2>
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This repo contains the full precision source code, in "safe tensors" format to generate GGUFs, GPTQ, EXL2, AWQ, HQQ and other formats.
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The source code can also be used directly.
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For full information about this model, including:
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- Details about this model and its use case(s).
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- Context limits
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- Special usage notes / settings.
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- Any model(s) used to create this model.
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- Template(s) used to access/use this model.
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- Example generation(s)
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- GGUF quants of this model
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Please go to:
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[ https://huggingface.co/DavidAU/Mistral-Nemo-Instruct-2407-17.5B-BRAINSTORM-20x-FORM-8-GGUF ]
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config.json
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{
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"_name_or_path": "G:/11b/Mistral-Nemo-Instruct-2407-12B",
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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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"head_dim": 128,
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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": 14336,
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"max_position_embeddings": 1024000,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 59,
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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": "float16",
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"transformers_version": "4.43.3",
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"use_cache": true,
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"vocab_size": 131072
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}
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model.safetensors.index.json
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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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},
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"eos_token": {
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"unk_token": {
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tokenizer.json
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tokenizer_config.json
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