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Model: neph1/Mistral-Nemo-Instruct-bellman-12b
Source: Original Platform

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README.md

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+---
+language:
+- sv
+license: apache-2.0
+library_name: transformers
+tags:
+- unsloth
+datasets:
+- neph1/bellman-7b-finetune
+- neph1/codefeedback-swedish
+base_model:
+- mistralai/Mistral-Nemo-Instruct-2407
+---
+
+# Model Card for Bellman
+
+This version of bellman is finetuned from Mistral-Nemo-Instruct-2407.
+It's a rank 128 qlora trained for about 1 epoch.
+It's finetuned for prompt question answering, based on a dataset created from 
+Swedish wikipedia, with a lot of Sweden-centric questions.
+New from previous versions is questions from a translated code-feedback dataset, as well as a number of stories.
+
+Consider this a work in progress as I adjust the training for this new model size. Will provide a few updates to the model.
+
+Quality seems to be dependent on "initial seed". Sometimes it's just amazing, and sometimes quite bad. If you're having trouble getting good results, try lowering temperature.
+
+
+For GGUFs, please look to: <br> https://huggingface.co/mradermacher/Mistral-Nemo-Instruct-bellman-12b-GGUF and <br>
+https://huggingface.co/mradermacher/Mistral-Nemo-Instruct-bellman-12b-i1-GGUF
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/653cd3049107029eb004f968/IDGX3d9lGe6yx-yHjsrav.png)
+
+[![ko-fi](https://ko-fi.com/img/githubbutton_sm.svg)](https://ko-fi.com/T6T3S8VXY)
+
+## Model Details
+
+Rank: 128
+
+Trained with Unsloth on a 3090
+
+Differences from base model:
+
+The base model is pretty good at Swedish already, but my 'vibe check' says this finetune is slightly improved. There are less weird wordings.
+
+Bellman is trained on fairly short answers and tends to be less verbose.
+
+Output example (Mistral-Nemo-Instruct-bellman-12b.i1-Q4_K_M.gguf):
+
+   User: "Hej!"
+
+   Bellman: "Hej! Vad kan jag hjälpa dig med?"
+
+   User: "Berätta lite om Sverige"
+
+   Bellman: "Sverige är ett land i norra Europa med en rik historia. Det består av 21 län och har en yta på drygt 450,000 kvadratkilometer. Stockholm är Sveriges huvudstad."
+
+   User: "När grundades det?"
+
+   Bellman: "Det är inte exakt känt när Sverige grundades. Det var först under 1300-talet att Sverige började ge sig uttryck i internationella affärer."
+
+   User: "Vad hände 1523?"
+
+   Bellman: "År 1523 blev Gustav Vasa kung över Sverige och inledde reformationen i landet. Han var också den förste monarken att bära titeln "Sveriges Konung"."
+
+   User: "Hur länge levde han?"
+
+   Bellman: "Gustav Vasa levde från år 1496 till 1560."
+
+### Training Parameters
+  per_device_train_batch_size = 2,<br>
+  gradient_accumulation_steps = 64,<br>
+  num_train_epochs=3,<br>
+  warmup_steps = 5,<br>
+  learning_rate = 1e-4,<br>
+  logging_steps = 15,<br>
+  optim = "adamw_8bit",<br>
+  weight_decay = 0.01,<br>
+  lr_scheduler_type = "linear",<br>
+  seed = 3407,<br>
+  per_device_eval_batch_size = 2,<br>
+  evaluation_strategy="steps",<br>
+  eval_accumulation_steps = 64,<br>
+  eval_steps = 15,<br>
+  eval_delay = 0,<br>
+  save_strategy="steps",<br>
+  save_steps=50,<br>
+  
+### Model Description
+
+
+- **Developed by:** Me
+- **Funded by:** Me
+- **Model type:** Instruct
+- **Language(s) (NLP):** Swedish
+- **License:** Apache 2 License
+- **Finetuned from model:** Mistral-Nemo-Instruct-2407
+
+## Model Card Contact
+
+rickard@mindemia.com

config.json

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+  "architectures": [
+    "MistralForCausalLM"
+  ],
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+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 1024000,
+  "model_type": "mistral",
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+  "num_hidden_layers": 40,
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+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.46.0.dev0",
+  "unsloth_version": "2024.10.3",
+  "use_cache": true,
+  "vocab_size": 131072
+}

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+  "transformers_version": "4.46.0.dev0"
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+}

special_tokens_map.json

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+{
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+    "single_word": false
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+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

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