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Model: neph1/Mistral-Nemo-Instruct-bellman-12b Source: Original Platform
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README.md
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---
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language:
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- sv
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license: apache-2.0
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library_name: transformers
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tags:
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- unsloth
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datasets:
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- neph1/bellman-7b-finetune
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- neph1/codefeedback-swedish
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base_model:
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- mistralai/Mistral-Nemo-Instruct-2407
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---
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# Model Card for Bellman
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This version of bellman is finetuned from Mistral-Nemo-Instruct-2407.
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It's a rank 128 qlora trained for about 1 epoch.
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It's finetuned for prompt question answering, based on a dataset created from
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Swedish wikipedia, with a lot of Sweden-centric questions.
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New from previous versions is questions from a translated code-feedback dataset, as well as a number of stories.
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Consider this a work in progress as I adjust the training for this new model size. Will provide a few updates to the model.
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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.
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For GGUFs, please look to: <br> https://huggingface.co/mradermacher/Mistral-Nemo-Instruct-bellman-12b-GGUF and <br>
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https://huggingface.co/mradermacher/Mistral-Nemo-Instruct-bellman-12b-i1-GGUF
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[](https://ko-fi.com/T6T3S8VXY)
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## Model Details
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Rank: 128
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Trained with Unsloth on a 3090
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Differences from base model:
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The base model is pretty good at Swedish already, but my 'vibe check' says this finetune is slightly improved. There are less weird wordings.
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Bellman is trained on fairly short answers and tends to be less verbose.
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Output example (Mistral-Nemo-Instruct-bellman-12b.i1-Q4_K_M.gguf):
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User: "Hej!"
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Bellman: "Hej! Vad kan jag hjälpa dig med?"
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User: "Berätta lite om Sverige"
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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."
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User: "När grundades det?"
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Bellman: "Det är inte exakt känt när Sverige grundades. Det var först under 1300-talet att Sverige började ge sig uttryck i internationella affärer."
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User: "Vad hände 1523?"
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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"."
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User: "Hur länge levde han?"
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Bellman: "Gustav Vasa levde från år 1496 till 1560."
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### Training Parameters
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per_device_train_batch_size = 2,<br>
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gradient_accumulation_steps = 64,<br>
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num_train_epochs=3,<br>
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warmup_steps = 5,<br>
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learning_rate = 1e-4,<br>
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logging_steps = 15,<br>
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optim = "adamw_8bit",<br>
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weight_decay = 0.01,<br>
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lr_scheduler_type = "linear",<br>
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seed = 3407,<br>
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per_device_eval_batch_size = 2,<br>
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evaluation_strategy="steps",<br>
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eval_accumulation_steps = 64,<br>
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eval_steps = 15,<br>
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eval_delay = 0,<br>
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save_strategy="steps",<br>
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save_steps=50,<br>
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### Model Description
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- **Developed by:** Me
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- **Funded by:** Me
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- **Model type:** Instruct
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- **Language(s) (NLP):** Swedish
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- **License:** Apache 2 License
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- **Finetuned from model:** Mistral-Nemo-Instruct-2407
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## Model Card Contact
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rickard@mindemia.com
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"transformers_version": "4.46.0.dev0",
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"unsloth_version": "2024.10.3",
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}
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30
special_tokens_map.json
Normal file
30
special_tokens_map.json
Normal file
@@ -0,0 +1,30 @@
|
||||
{
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||||
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||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
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||||
oid sha256:b0240ce510f08e6c2041724e9043e33be9d251d1e4a4d94eb68cd47b954b61d2
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size 17078292
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8020
tokenizer_config.json
Normal file
8020
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user