Text Generation
Transformers
Safetensors
English
Russian
mistral
Not-For-All-Audiences
nsfw
text-generation-inference
Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- .ipynb_checkpoints/README-checkpoint.md +37 -0
- README.md +37 -0
- assets/MinP.json +1 -0
- assets/alice.png +3 -0
- assets/context.json +1 -0
- assets/instruct.json +1 -0
- config.json +26 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +42 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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.ipynb_checkpoints/README-checkpoint.md
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---
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language:
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- en
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- ru
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library_name: transformers
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tags:
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- not-for-all-audiences
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- nsfw
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model_name: Silicon-Alice-7B
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base_model:
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- LakoMoor/Silicon-Masha-7B
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inference: false
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model_creator: LakoMoor
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model_type: mistral
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---
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# Silicon-Alice-7B
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![Silicon-Alice-7B](https://huggingface.co/LakoMoor/Silicon-Alice-7B/resolve/main/assets/alice.png)
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## What's that?
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Silicon-Alice-7B is a model based on [Silicon-Masha-7B](https://huggingface.co/LakoMoor/Silicon-Alice-7B) aiming to be both strong in RP, be smart **and** understand Russian, that can follow character maps very well. This model understands Russian better than the previous one. It is suitable for RP/ERP and general use.
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## Prompt Template (Alpaca)
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I found the best SillyTavern results from using the Noromaid template but please try other templates! Let me know if you find anything good.
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SillyTavern config files: [Context](https://huggingface.co/LakoMoor/Silicon-Alice-7B/resolve/main/assets/context.json), [Instruct](https://huggingface.co/LakoMoor/Silicon-Alice-7B/resolve/main/assets/instruct.json).
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Additionally, here is my highly recommended [Text Completion preset](https://huggingface.co/LakoMoor/Silicon-Alice-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!
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```
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Below is an instruction that describes a task. Write a response that appropriately completes the request.
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### Instruction:
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{prompt}
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### Response:
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```
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README.md
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---
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language:
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- en
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- ru
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library_name: transformers
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tags:
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- not-for-all-audiences
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- nsfw
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model_name: Silicon-Alice-7B
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base_model:
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- LakoMoor/Silicon-Masha-7B
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inference: false
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model_creator: LakoMoor
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model_type: mistral
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---
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# Silicon-Alice-7B
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![Silicon-Alice-7B](https://huggingface.co/LakoMoor/Silicon-Alice-7B/resolve/main/assets/alice.png)
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## What's that?
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Silicon-Alice-7B is a model based on [Silicon-Masha-7B](https://huggingface.co/LakoMoor/Silicon-Alice-7B) aiming to be both strong in RP, be smart **and** understand Russian, that can follow character maps very well. This model understands Russian better than the previous one. It is suitable for RP/ERP and general use.
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## Prompt Template (Alpaca)
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I found the best SillyTavern results from using the Noromaid template but please try other templates! Let me know if you find anything good.
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SillyTavern config files: [Context](https://huggingface.co/LakoMoor/Silicon-Alice-7B/resolve/main/assets/context.json), [Instruct](https://huggingface.co/LakoMoor/Silicon-Alice-7B/resolve/main/assets/instruct.json).
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Additionally, here is my highly recommended [Text Completion preset](https://huggingface.co/LakoMoor/Silicon-Alice-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!
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```
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Below is an instruction that describes a task. Write a response that appropriately completes the request.
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### Instruction:
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{prompt}
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### Response:
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```
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assets/MinP.json
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{"temp": 0.4, "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}
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assets/alice.png
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Git LFS Details
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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"}
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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"}
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config.json
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{
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"_name_or_path": "LakoMoor/Silicon-Masha-7B",
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"architectures": [
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"MistralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 8192,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.37.2",
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"use_cache": true,
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"vocab_size": 32000
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}
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|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"1": {
|
14 |
+
"content": "<s>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "</s>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
}
|
29 |
+
},
|
30 |
+
"additional_special_tokens": [],
|
31 |
+
"bos_token": "<s>",
|
32 |
+
"clean_up_tokenization_spaces": false,
|
33 |
+
"eos_token": "</s>",
|
34 |
+
"legacy": true,
|
35 |
+
"model_max_length": 1000000000000000019884624838656,
|
36 |
+
"pad_token": null,
|
37 |
+
"sp_model_kwargs": {},
|
38 |
+
"spaces_between_special_tokens": false,
|
39 |
+
"tokenizer_class": "LlamaTokenizer",
|
40 |
+
"unk_token": "<unk>",
|
41 |
+
"use_default_system_prompt": false
|
42 |
+
}
|