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README.md

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+---
+license: other
+license_name: nelya-restrictive
+license_link: LICENSE
+datasets:
+- Clemylia/Charlotte-nekolien-SLM
+language:
+- fr
+pipeline_tag: text-generation
+tags:
+- SLM
+- Neko-SLM
+- Nekolien
+- "Cr\xE9ativit\xE9"
+- Nelya
+library_name: transformers.js
+base_model:
+- LLM-CLEM/Nelya
+---
+
+
+
+# Nelya (ONNX)
+
+
+This is an ONNX version of [LLM-CLEM/Nelya](https://huggingface.co/LLM-CLEM/Nelya). It was automatically converted and uploaded using [this Hugging Face Space](https://huggingface.co/spaces/onnx-community/convert-to-onnx).
+
+
+## Usage with Transformers.js
+
+
+See the pipeline documentation for `text-generation`: https://huggingface.co/docs/transformers.js/api/pipelines#module_pipelines.TextGenerationPipeline
+
+
+---
+
+
+# 🌸 Nelya - mini-Assistante Nekolienne
+
+![Nelya](http://www.image-heberg.fr/files/1763803140979789052.png)
+
+Nelya est un **SLM** (small language model),
+Crée from scratch (de zéro) à partir de notre modèle de fondation : **Lam-4-zero-F**.
+
+Nelya excelle a générer des phrases en nekolien. Le nekolien est une langue artificielle, que nous avons imaginée et conçu nous même.
+Nous l'avons créées originairement pour nos chansons et notre créativité,
+Mais nous nous sommes dit qu'une IA qui parle notre langue n'était pas une mauvaise idée.
+
+# ✨ Cas d'usage 🌸
+
+* - Créativité 
+* - exploration de la langue 
+
+Vous pouvez générer du texte avec Nelya,
+Pour explorer la créativité de notre propre langue.
+Nelya prouve que les modèles de languages ne sont pas seulement des assistants généralistes qui parlent qu'anglais ou français,
+Ils peuvent parler le langage que vous souhaitez.
+
+# ♥️ License de Nelya 🩷
+
+Attention, l'utilisation de Nelya est régi par la licence Nelya-restrictive,
+qui n'est pas open source.
+Notre licence interdit tout affinage ou utilisation commerciale de Nelya.
+
+**✨ Amusée vous bien a utiliser Nelya ✨**

added_tokens.json

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+{
+  "[PAD]": 50257
+}

config.json

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+{
+  "_attn_implementation_autoset": true,
+  "_name_or_path": "LLM-CLEM/Nelya",
+  "activation_function": "gelu_new",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50256,
+  "dtype": "float32",
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50256,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_embd": 512,
+  "n_head": 8,
+  "n_inner": null,
+  "n_layer": 8,
+  "n_positions": 128,
+  "pad_token_id": 50257,
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.49.0",
+  "use_cache": true,
+  "vocab_size": 50258
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 50256,
+  "eos_token_id": [
+    50256
+  ],
+  "pad_token_id": 50257,
+  "transformers_version": "4.49.0"
+}

onnx/model.onnx

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+size 204300051

onnx/model_bnb4.onnx

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onnx/model_fp16.onnx

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onnx/model_int8.onnx

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onnx/model_q4.onnx

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onnx/model_q4f16.onnx

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onnx/model_quantized.onnx

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onnx/model_uint8.onnx

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quantize_config.json

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+{
+    "modes": [
+        "fp16",
+        "q8",
+        "int8",
+        "uint8",
+        "q4",
+        "q4f16",
+        "bnb4"
+    ],
+    "per_channel": false,
+    "reduce_range": false,
+    "block_size": null,
+    "is_symmetric": true,
+    "accuracy_level": null,
+    "quant_type": 1,
+    "op_block_list": null
+}

special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "[PAD]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "50256": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50257": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<|endoftext|>",
+  "chat_template": "{%- for message in messages -%}\n    {{ '### Instruction:\\n' + message.content + '\\n\\n' }}\n{%- endfor -%}\n{{ '### Response:\\n' }}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "extra_special_tokens": {},
+  "max_length": 128,
+  "model_max_length": 1024,
+  "pad_to_multiple_of": null,
+  "pad_token": "[PAD]",
+  "pad_token_type_id": 0,
+  "padding_side": "right",
+  "stride": 0,
+  "tokenizer_class": "GPT2Tokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
+  "unk_token": "<|endoftext|>"
+}