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6.5bpw/README.md

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+---
+base_model:
+- intervitens/mini-magnum-12b-v1.1
+license: apache-2.0
+language:
+- en
+---
+
+<div align="center">
+
+# Mini-Magnum-Unboxed-12B
+</div>
+
+This is a low-LR finetune done on top of the https://huggingface.co/intervitens/mini-magnum-12b-v1.1 model to correct some minor personal annoyances towards what would otherwise be an excellent model.
+
+- **Instruct prompt format changed to Alpaca** - Honestly, I don't know why more models don't use it. If you are an Alpaca format lover like me, this should help.
+- **Instruct Decensoring Applied** - You should not need a jailbreak for a model to obey the user. The model should always do what you tell it to. No need for weird `"Sure, I will"` or kitten-murdering-threat tricks.
+- **Short Conversation Tuning** - For people who like to also be able to *chat* (think chatbot/DM) with a character rather than just roleplay with it. This adds a small dataset of short chat-message conversations.
+
+You can obtain the GGUF quantization of this model here: https://huggingface.co/concedo/Mini-Magnum-Unboxed-12B-GGUF
+
+<!-- prompt-template start -->
+## Prompt template: Alpaca
+
+```
+### Instruction:
+{prompt}
+
+### Response:
+```
+
+<!-- prompt-template end -->
+
+Please leave any feedback or issues that you may have. All credits go to the tuners of the original source mini-magnum-12b-v1.1 model as well as Mistral for the Mistral Nemo base model.

6.5bpw/config.json

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+{
+    "architectures": [
+        "MistralForCausalLM"
+    ],
+    "attention_dropout": 0.0,
+    "bos_token_id": 1,
+    "eos_token_id": 2,
+    "head_dim": 128,
+    "hidden_act": "silu",
+    "hidden_size": 5120,
+    "initializer_range": 0.02,
+    "intermediate_size": 14336,
+    "max_position_embeddings": 1024000,
+    "model_type": "mistral",
+    "num_attention_heads": 32,
+    "num_hidden_layers": 40,
+    "num_key_value_heads": 8,
+    "rms_norm_eps": 1e-05,
+    "rope_theta": 1000000.0,
+    "sliding_window": null,
+    "tie_word_embeddings": false,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.43.3",
+    "use_cache": false,
+    "vocab_size": 131073,
+    "quantization_config": {
+        "quant_method": "exl2",
+        "version": "0.1.8",
+        "bits": 6.5,
+        "head_bits": 6,
+        "calibration": {
+            "rows": 115,
+            "length": 2048,
+            "dataset": "(default)"
+        }
+    }
+}

6.5bpw/generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "do_sample": true,
+  "eos_token_id": 2,
+  "transformers_version": "4.43.3"
+}

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