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Model: awnr/Mistral-7B-v0.1-signtensors-3-over-8
Source: Original Platform

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README.md

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+---
+license: apache-2.0
+---
+
+# Model Card for Model Mistral-7B-v0.1-3-over-8
+
+I'm experimenting with the weight matrices in neural networks.
+This is a clone of `Mistral-7B-v0.1` with some weight matrices replaced.
+
+I'm interested in seeing how the adjustmenets affect performance on existing metrics.
+
+## Model Details
+
+Research in progress! Demons could come out of your nose if you use this.
+
+### Model Description
+
+A modification of [`mistralai/Mistral-7B-v0.1`](https://huggingface.co/mistralai/Mistral-7B-v0.1).
+Thanks to their team for sharing their model.
+
+
+- **Modified by:** Dr. Alex W. Neal Riasanovsky
+- **Model type:** pre-trained
+- **Language(s) (NLP):** English
+- **License:** Apache-2.0
+
+## Bias, Risks, and Limitations
+
+Use your own risk.
+I have no idea what this model's biases and limitations are.
+I just want to see if the benchmark values are similar to those from `Mistral-7B-v0.1`.
+I am setting up a long computational experiment to test some ideas.

config.json

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+  ],
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+  "hidden_act": "silu",
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+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "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": "4.34.0.dev0",
+  "use_cache": true,
+  "vocab_size": 32000
+}

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