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README.md

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+---
+tags:
+- autotrain
+- text-generation-inference
+- text-generation
+library_name: transformers.js
+base_model:
+- LLM-CLEM/Charlotte-Test-aligne
+widget:
+- messages:
+  - role: user
+    content: What is your favorite condiment?
+license: other
+datasets:
+- LLM-CLEM/Charlotte-alignement
+pipeline_tag: text-generation
+---
+
+
+
+# Charlotte-Test-aligne (ONNX)
+
+
+This is an ONNX version of [LLM-CLEM/Charlotte-Test-aligne](https://huggingface.co/LLM-CLEM/Charlotte-Test-aligne). 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
+
+
+---
+
+
+# Model Trained Using AutoTrain
+
+This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
+
+# Usage
+
+```python
+
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_path = "PATH_TO_THIS_REPO"
+
+tokenizer = AutoTokenizer.from_pretrained(model_path)
+model = AutoModelForCausalLM.from_pretrained(
+    model_path,
+    device_map="auto",
+    torch_dtype='auto'
+).eval()
+
+# Prompt content: "hi"
+messages = [
+    {"role": "user", "content": "hi"}
+]
+
+input_ids = tokenizer.apply_chat_template(conversation=messages, tokenize=True, add_generation_prompt=True, return_tensors='pt')
+output_ids = model.generate(input_ids.to('cuda'))
+response = tokenizer.decode(output_ids[0][input_ids.shape[1]:], skip_special_tokens=True)
+
+# Model response: "Hello! How can I assist you today?"
+print(response)
+```

added_tokens.json

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

config.json

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+{
+  "_attn_implementation_autoset": true,
+  "_name_or_path": "LLM-CLEM/Charlotte-Test-aligne",
+  "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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+oid sha256:60dd22cdec8fc978403e33d23b0bbad3ce137d1947f04ecf8792f188ba55dd98
+size 204300051

onnx/model_bnb4.onnx

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+size 204300070

onnx/model_fp16.onnx

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+oid sha256:2066fe2df42692b86dd2963294f5d5f3903ad6d2c970a15fb9a31a3f271b35fc
+size 102268734

onnx/model_int8.onnx

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+size 154386871

onnx/model_q4.onnx

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+size 204300070

onnx/model_q4f16.onnx

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+oid sha256:b5a57067ea7aa487ba531353a5ed24baadeb9de218deb001682076f31683bf42
+size 102268753

onnx/model_quantized.onnx

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+oid sha256:64668b9c359c42268ea642c712bff227a50ed48cb2d602e70ba599a5e16b685b
+size 154386871

onnx/model_uint8.onnx

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+version https://git-lfs.github.com/spec/v1
+oid sha256:715354854382348a5be515b58c461303e5bd964c4ad72bc1ecee3b31750691c1
+size 154386892

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|>"
+}