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@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+assets/alice.png filter=lfs diff=lfs merge=lfs -text
+assets/masha.png filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+language:
+- en
+- ru
+library_name: transformers
+tags:
+- merge
+- not-for-all-audiences
+- nsfw
+model_name: Silicon-Masha-7B
+base_model:
+- mistralai/Mistral-7B-v0.1
+inference: false
+model_creator: LakoMoor
+model_type: mistral
+---
+
+# Silicon-Masha-7B
+![Silicon-Masha-7B](https://huggingface.co/LakoMoor/Silicon-Masha-7B/resolve/main/assets/masha.png)
+
+## What's that?
+
+Silicon-Masha-7B is a model aiming to be both strong in RP, be smart **and** understand Russian, that can follow character maps very well.  It is suitable for RP/ERP and general use.
+
+## Prompt Template (Alpaca)
+
+I found the best SillyTavern results from using the Noromaid template but please try other templates! Let me know if you find anything good.
+
+SillyTavern config files: [Context](https://huggingface.co/LakoMoor/Silicon-Masha-7B/resolve/main/assets/context.json), [Instruct](https://huggingface.co/LakoMoor/Silicon-Masha-7B/resolve/main/assets/instruct.json).
+
+Additionally, here is my highly recommended [Text Completion preset](https://huggingface.co/LakoMoor/Silicon-Masha-7B/resolve/main/assets/MinP.json). You can tweak this by adjusting temperature up or dropping min p to boost creativity or raise min p to increase stability. You shouldn't need to touch anything else!
+
+```
+Below is an instruction that describes a task. Write a response that appropriately completes the request.
+### Instruction:
+{prompt}
+### Response:
+```

assets/MinP.json

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+{"temp": 0.8, "temperature_last": false, "top_p": 0.98, "top_k": 100, "top_a": 0, "tfs": 1, "epsilon_cutoff": 0, "eta_cutoff": 0, "typical_p": 1, "min_p": 0.05, "rep_pen": 1.1, "rep_pen_range": 2048, "no_repeat_ngram_size": 0, "penalty_alpha": 0, "num_beams": 1, "length_penalty": 1, "min_length": 0, "encoder_rep_pen": 1, "freq_pen": 0, "presence_pen": 0, "do_sample": true, "early_stopping": false, "add_bos_token": true, "truncation_length": 2048, "ban_eos_token": false, "skip_special_tokens": true, "streaming": true, "mirostat_mode": 0, "mirostat_tau": 5, "mirostat_eta": 0.1, "guidance_scale": 1, "negative_prompt": "", "grammar_string": "", "banned_tokens": "", "ignore_eos_token_aphrodite": false, "spaces_between_special_tokens_aphrodite": true, "type": "koboldcpp", "legacy_api": false, "sampler_order": [6, 0, 5, 3, 2, 1, 4], "n": 1, "rep_pen_size": 0, "genamt": 250, "max_length": 1024}

assets/context.json

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+{"story_string": "### Instruction:\nWrite {{char}}'s next reply in a fictional roleplay chat between {{user}} and {{char}}. Use the provided character sheet and example dialogue for formatting direction and character speech patterns.\n\n{{#if system}}{{system}}\n\n{{/if}}{{#if wiBefore}}{{wiBefore}}\n\n{{/if}}Description of {{char}}:\n{{#if description}}{{description}}\n{{/if}}{{#if personality}}{{char}}'s personality: {{personality}}\n\n{{/if}}{{#if scenario}}Scenario: {{scenario}}\n\n{{/if}}{{#if persona}}Description of {{user}}: {{persona}}\n\n{{/if}}Play the role of {{char}}\n\n{{#if wiAfter}}{{wiAfter}}\n{{/if}}", "example_separator": "Example roleplay chat:", "chat_start": "Taking the above information into consideration,\nyou must engage in a roleplay conversation with {{user}} below this line.\nDo not write {{user}}'s dialogue lines in your responses.\n", "always_force_name2": true, "trim_sentences": true, "include_newline": true, "single_line": false, "name": "Context-Alice"}

assets/instruct.json

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+{"system_prompt": "Avoid repetition, don't loop. Develop the plot slowly, always stay in character. Describe all actions in full, elaborate, explicit, graphic, and vivid detail. Mention all relevant sensory perceptions.", "input_sequence": "\n### Instruction: (Style: Markdown, Present Tense)", "output_sequence": "\n### Response: (Style: Markdown, Present Tense)", "first_output_sequence": "### Response:", "last_output_sequence": "", "system_sequence_prefix": "", "system_sequence_suffix": "", "stop_sequence": "", "separator_sequence": "", "wrap": true, "macro": true, "names": true, "names_force_groups": true, "activation_regex": "", "name": "Instruct-Alice"}

config.json

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+{
+  "_name_or_path": "LakoMoor/Silicon-Masha-7B",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 8192,
+  "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": "4.38.0.dev0",
+  "use_cache": true,
+  "vocab_size": 32000
+}

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