初始化项目，由ModelHub XC社区提供模型

Model: prithivMLmods/Phi-4-Empathetic
Source: Original Platform

.gitattributes

@@ -0,0 +1,41 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+model-00001-of-00006.safetensors filter=lfs diff=lfs merge=lfs -text
+model-00002-of-00006.safetensors filter=lfs diff=lfs merge=lfs -text
+model-00003-of-00006.safetensors filter=lfs diff=lfs merge=lfs -text
+model-00004-of-00006.safetensors filter=lfs diff=lfs merge=lfs -text
+model-00005-of-00006.safetensors filter=lfs diff=lfs merge=lfs -text
+model-00006-of-00006.safetensors filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,137 @@
+---
+license: mit
+language:
+- en
+base_model:
+- microsoft/phi-4
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- text-generation-inference
+- phi
+- phi3
+- llama
+- human_like_reasoning
+---
+![4.png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/kfT6j0uZRKZiUxRT7F--f.png)
+
+# **Phi-4 Empathetic [ Responsible Reasoning & Emotional Thought Generation ]**
+
+`[Phi-4 Empathetic finetuned]` from Microsoft's Phi-4 is an advanced open model built upon a blend of high-quality synthetic datasets, data from filtered public domain websites, and carefully selected academic resources. It excels at **responsible human-like reasoning**, **empathetic dialogue**, and **emotional thought generation**. The model is designed to engage in nuanced, thoughtful conversations, with outputs that can include **special characters** and **emojis** for expressive communication. 🌟
+
+Phi-4 Empathetic employs a sophisticated safety post-training approach, leveraging both open-source and proprietary datasets. Safety alignment is achieved using a combination of **SFT (Supervised Fine-Tuning)** and **DPO (Direct Preference Optimization)**, targeting responsible interaction and emotional awareness in diverse contexts.
+
+---
+
+# **Dataset Info**
+
+Phi-4 Empathetic is fine-tuned on a carefully curated dataset tailored for empathetic and responsible reasoning tasks. The dataset incorporates the **Chain of Thought (CoT)** methodology, emphasizing logical reasoning, emotional nuance, and step-by-step thought processes. Additionally, it includes data optimized for generating responses that resonate with human emotions, making it ideal for:
+
+- **Emotional Support Applications** 🤗
+- **Responsible Conversations** 💬
+- **Thoughtful Problem-Solving** 🧠
+
+---
+
+# **Run with Transformers**
+
+```python
+# pip install accelerate
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+tokenizer = AutoTokenizer.from_pretrained("prithivMLmods/Phi-4-Empathetic")
+model = AutoModelForCausalLM.from_pretrained(
+    "prithivMLmods/Phi-4-Empathetic",
+    device_map="auto",
+    torch_dtype=torch.bfloat16,
+)
+
+input_text = "Can you share some words of encouragement for someone feeling down?"
+input_ids = tokenizer(input_text, return_tensors="pt").to("cuda")
+
+outputs = model.generate(**input_ids, max_new_tokens=32)
+print(tokenizer.decode(outputs[0]))
+```
+
+You can ensure correct formatting for empathetic dialogue by using `tokenizer.apply_chat_template` as follows:
+
+```python
+messages = [
+    {"role": "user", "content": "Can you share some words of encouragement for someone feeling down?"},
+]
+input_ids = tokenizer.apply_chat_template(messages, return_tensors="pt", return_dict=True).to("cuda")
+
+outputs = model.generate(**input_ids, max_new_tokens=256)
+print(tokenizer.decode(outputs[0]))
+```
+
+---
+
+# **Intended Use**
+
+The Phi-4 Empathetic model is optimized for applications that require thoughtful and emotionally aware interactions. Below are some suggested use cases:
+
+1. **Emotional Support & Counseling** 💖  
+   - Providing thoughtful responses to users seeking emotional encouragement or advice.  
+   - Generating empathetic messages for mental health and well-being applications.  
+
+2. **Responsible Dialogue Generation** 🗣️  
+   - Engaging in nuanced conversations with a focus on fairness, safety, and ethical considerations.  
+   - Ensuring that interactions remain respectful and aligned with safety guidelines.  
+
+3. **Creative Writing Assistance** ✍️  
+   - Helping users craft emotionally engaging content, including stories, poems, and personal messages.  
+   - Assisting in generating content enriched with special characters and emojis for expressive communication.  
+
+4. **Educational Tools** 🎓  
+   - Offering step-by-step explanations with an empathetic tone for better understanding.  
+   - Generating thoughtful Q&A responses for various subjects.  
+
+5. **Customer Support** 🤝  
+   - Automating empathetic responses to customer queries.  
+   - Handling emotionally sensitive customer service interactions with care.  
+
+6. **Social Media Engagement** 📱  
+   - Generating creative, engaging, and emotionally resonant posts for social media platforms.  
+   - Providing personalized message suggestions enriched with emojis and special characters.  
+
+---
+
+# **Limitations**
+
+While Phi-4 Empathetic is highly capable, it has certain limitations users should be aware of:
+
+1. **Bias and Fairness**:  
+   Despite extensive safety alignment, biases may still emerge in the model’s responses. Users should exercise discretion, particularly in sensitive contexts.  
+
+2. **Emotional Nuance**:  
+   The model may occasionally misinterpret the emotional tone of a prompt, leading to less relevant or inappropriate responses.  
+
+3. **Real-Time Knowledge**:  
+   The model's knowledge is based on the data it was trained on and does not include real-time or post-training updates. It may not reflect recent events or changes in knowledge.  
+
+4. **Safety and Harmlessness**:  
+   Although the model is aligned with safety standards, there may still be cases where outputs require human oversight to ensure appropriateness.  
+
+5. **Resource Requirements**:  
+   Running the model efficiently may require significant computational resources, especially in large-scale or real-time applications.  
+
+6. **Ethical Considerations**:  
+   The model must be used responsibly, avoiding any malicious applications such as generating harmful content or spreading misinformation.  
+
+7. **Domain-Specific Limitations**:  
+   While it performs well in general-purpose tasks, it may need further fine-tuning for highly specialized domains, such as legal, medical, or financial applications.  
+
+---
+
+# **Special Features**
+
+1. **Emojis & Special Characters** 🎉💡  
+   The model can generate responses with emojis and special characters for expressive communication, making it ideal for social media and personal messaging applications.  
+
+2. **Human-Like Reasoning** 🧠  
+   Fine-tuned for **responsible reasoning** and **empathetic dialogue**, it excels at generating thoughtful and human-like responses.  
+
+3. **Advanced Safety Alignment** 🔒  
+   The model employs **iterative SFT** and **DPO** techniques to ensure that its outputs are helpful, harmless, and aligned with ethical standards.

config.json

@@ -0,0 +1,32 @@
+{
+  "_name_or_path": "microsoft/phi-4",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 100257,
+  "eos_token_id": 100265,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 17920,
+  "max_position_embeddings": 16384,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 40,
+  "num_hidden_layers": 40,
+  "num_key_value_heads": 10,
+  "original_max_position_embeddings": 16384,
+  "pad_token_id": 100351,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 250000,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.47.1",
+  "use_cache": true,
+  "vocab_size": 100352
+}

configuration.json

@@ -0,0 +1 @@
+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

generation_config.json

@@ -0,0 +1,8 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 100257,
+  "eos_token_id": 100265,
+  "max_length": 16384,
+  "pad_token_id": 100351,
+  "transformers_version": "4.47.1"
+}

model-00001-of-00006.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:19e898b5401a9a3c0844104ee279a4d38ac01384ce98d59ee870bc5d19f39b2d
+size 4933658472

model-00002-of-00006.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d8537a92fc6389aeffcac18b820c183f18eb2af40116448f5dcb2fc90e284537
+size 4954693048

model-00003-of-00006.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6bc4628f5061a2a9379e59e01445f9f1da28b5daed08f052d0fd8ed0d17902fb
+size 4902243928

model-00004-of-00006.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c7f297615a8fd1e9f59f98abeee82f4732c9aed26755c3a2120e9ad22a17cdf6
+size 4954672376

model-00005-of-00006.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:634d6963f7e2637d18cc57bf23330d6b073e812e29dc630a5a5aa3a38c37182c
+size 4954672368

model-00006-of-00006.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4604690207fe7bab81b790821f53fb879ff3717c598e8c75c8185ad8afc509cc
+size 4619116176

model.safetensors.index.json

@@ -0,0 +1,370 @@
+{
+    "metadata": {
+        "total_size": 29319014400
+    },
+    "weight_map": {
+        "lm_head.weight": "model-00006-of-00006.safetensors",
+        "model.embed_tokens.weight": "model-00001-of-00006.safetensors",
+        "model.layers.0.input_layernorm.weight": "model-00001-of-00006.safetensors",
+        "model.layers.0.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
+        "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
+        "model.layers.0.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
+        "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
+        "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
+        "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
+        "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
+        "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
+        "model.layers.1.input_layernorm.weight": "model-00001-of-00006.safetensors",
+        "model.layers.1.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
+        "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
+        "model.layers.1.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
+        "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
+        "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
+        "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
+        "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
+        "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
+        "model.layers.10.input_layernorm.weight": "model-00002-of-00006.safetensors",
+        "model.layers.10.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.10.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.10.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
+        "model.layers.10.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.10.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.10.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.10.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.11.input_layernorm.weight": "model-00002-of-00006.safetensors",
+        "model.layers.11.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.11.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
+        "model.layers.11.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.11.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.12.input_layernorm.weight": "model-00002-of-00006.safetensors",
+        "model.layers.12.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.12.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
+        "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.13.input_layernorm.weight": "model-00003-of-00006.safetensors",
+        "model.layers.13.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.13.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.13.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.13.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
+        "model.layers.13.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.13.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.13.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.13.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.14.input_layernorm.weight": "model-00003-of-00006.safetensors",
+        "model.layers.14.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.14.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.14.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.14.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
+        "model.layers.14.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.14.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.14.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.14.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.15.input_layernorm.weight": "model-00003-of-00006.safetensors",
+        "model.layers.15.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.15.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.15.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.15.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
+        "model.layers.15.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.15.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.15.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.15.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.16.input_layernorm.weight": "model-00003-of-00006.safetensors",
+        "model.layers.16.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.16.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.16.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.16.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
+        "model.layers.16.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.16.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.16.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.16.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.17.input_layernorm.weight": "model-00003-of-00006.safetensors",
+        "model.layers.17.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.17.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.17.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.17.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
+        "model.layers.17.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.17.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.17.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.17.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.18.input_layernorm.weight": "model-00003-of-00006.safetensors",
+        "model.layers.18.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.18.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.18.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.18.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
+        "model.layers.18.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.18.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.18.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.18.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.19.input_layernorm.weight": "model-00003-of-00006.safetensors",
+        "model.layers.19.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.19.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.19.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.19.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
+        "model.layers.19.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.19.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.19.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.19.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.2.input_layernorm.weight": "model-00001-of-00006.safetensors",
+        "model.layers.2.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
+        "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
+        "model.layers.2.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
+        "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
+        "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
+        "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
+        "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
+        "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
+        "model.layers.20.input_layernorm.weight": "model-00004-of-00006.safetensors",
+        "model.layers.20.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.20.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.20.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.20.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
+        "model.layers.20.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.20.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.20.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.20.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
+        "model.layers.21.input_layernorm.weight": "model-00004-of-00006.safetensors",
+        "model.layers.21.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.21.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.21.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.21.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
+        "model.layers.21.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.21.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.21.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.21.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.22.input_layernorm.weight": "model-00004-of-00006.safetensors",
+        "model.layers.22.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.22.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.22.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.22.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
+        "model.layers.22.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.22.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.22.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.22.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.23.input_layernorm.weight": "model-00004-of-00006.safetensors",
+        "model.layers.23.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.23.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.23.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.23.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
+        "model.layers.23.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.23.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.23.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.23.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.24.input_layernorm.weight": "model-00004-of-00006.safetensors",
+        "model.layers.24.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.24.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.24.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.24.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
+        "model.layers.24.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.24.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.24.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.24.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.25.input_layernorm.weight": "model-00004-of-00006.safetensors",
+        "model.layers.25.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.25.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.25.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.25.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
+        "model.layers.25.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.25.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.25.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.25.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.26.input_layernorm.weight": "model-00004-of-00006.safetensors",
+        "model.layers.26.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.26.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.26.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.26.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
+        "model.layers.26.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.26.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.26.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.26.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.27.input_layernorm.weight": "model-00005-of-00006.safetensors",
+        "model.layers.27.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.27.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.27.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.27.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
+        "model.layers.27.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.27.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.27.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.27.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
+        "model.layers.28.input_layernorm.weight": "model-00005-of-00006.safetensors",
+        "model.layers.28.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.28.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.28.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.28.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
+        "model.layers.28.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.28.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.28.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.28.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.29.input_layernorm.weight": "model-00005-of-00006.safetensors",
+        "model.layers.29.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.29.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.29.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.29.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
+        "model.layers.29.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.29.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.29.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.29.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.3.input_layernorm.weight": "model-00001-of-00006.safetensors",
+        "model.layers.3.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
+        "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
+        "model.layers.3.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
+        "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
+        "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
+        "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
+        "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
+        "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
+        "model.layers.30.input_layernorm.weight": "model-00005-of-00006.safetensors",
+        "model.layers.30.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.30.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.30.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.30.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
+        "model.layers.30.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.30.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.30.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.30.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.31.input_layernorm.weight": "model-00005-of-00006.safetensors",
+        "model.layers.31.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.31.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.31.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.31.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
+        "model.layers.31.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.31.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.31.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.31.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.32.input_layernorm.weight": "model-00005-of-00006.safetensors",
+        "model.layers.32.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.32.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.32.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.32.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
+        "model.layers.32.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.32.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.32.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.32.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.33.input_layernorm.weight": "model-00005-of-00006.safetensors",
+        "model.layers.33.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.33.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.33.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.33.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
+        "model.layers.33.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.33.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.33.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.33.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.34.input_layernorm.weight": "model-00006-of-00006.safetensors",
+        "model.layers.34.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
+        "model.layers.34.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.34.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.34.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
+        "model.layers.34.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.34.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.34.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.34.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
+        "model.layers.35.input_layernorm.weight": "model-00006-of-00006.safetensors",
+        "model.layers.35.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
+        "model.layers.35.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
+        "model.layers.35.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
+        "model.layers.35.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
+        "model.layers.35.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
+        "model.layers.35.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
+        "model.layers.35.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
+        "model.layers.35.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
+        "model.layers.36.input_layernorm.weight": "model-00006-of-00006.safetensors",
+        "model.layers.36.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
+        "model.layers.36.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
+        "model.layers.36.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
+        "model.layers.36.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
+        "model.layers.36.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
+        "model.layers.36.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
+        "model.layers.36.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
+        "model.layers.36.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
+        "model.layers.37.input_layernorm.weight": "model-00006-of-00006.safetensors",
+        "model.layers.37.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
+        "model.layers.37.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
+        "model.layers.37.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
+        "model.layers.37.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
+        "model.layers.37.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
+        "model.layers.37.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
+        "model.layers.37.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
+        "model.layers.37.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
+        "model.layers.38.input_layernorm.weight": "model-00006-of-00006.safetensors",
+        "model.layers.38.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
+        "model.layers.38.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
+        "model.layers.38.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
+        "model.layers.38.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
+        "model.layers.38.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
+        "model.layers.38.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
+        "model.layers.38.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
+        "model.layers.38.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
+        "model.layers.39.input_layernorm.weight": "model-00006-of-00006.safetensors",
+        "model.layers.39.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
+        "model.layers.39.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
+        "model.layers.39.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
+        "model.layers.39.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
+        "model.layers.39.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
+        "model.layers.39.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
+        "model.layers.39.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
+        "model.layers.39.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
+        "model.layers.4.input_layernorm.weight": "model-00001-of-00006.safetensors",
+        "model.layers.4.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
+        "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
+        "model.layers.4.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
+        "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
+        "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
+        "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
+        "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
+        "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
+        "model.layers.5.input_layernorm.weight": "model-00002-of-00006.safetensors",
+        "model.layers.5.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
+        "model.layers.5.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
+        "model.layers.5.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
+        "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
+        "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
+        "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
+        "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
+        "model.layers.6.input_layernorm.weight": "model-00002-of-00006.safetensors",
+        "model.layers.6.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.6.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.6.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.6.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
+        "model.layers.6.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.6.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.6.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.6.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.7.input_layernorm.weight": "model-00002-of-00006.safetensors",
+        "model.layers.7.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.7.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.7.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.7.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
+        "model.layers.7.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.7.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.7.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.7.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.8.input_layernorm.weight": "model-00002-of-00006.safetensors",
+        "model.layers.8.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.8.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.8.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.8.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
+        "model.layers.8.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.8.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.8.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.8.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.9.input_layernorm.weight": "model-00002-of-00006.safetensors",
+        "model.layers.9.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.9.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.9.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
+        "model.layers.9.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.9.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.9.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
+        "model.layers.9.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
+        "model.norm.weight": "model-00006-of-00006.safetensors"
+    }
+}

special_tokens_map.json

@@ -0,0 +1,30 @@
+{
+  "bos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": true,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": true,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|dummy_87|>",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": true,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "�",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

@@ -0,0 +1,791 @@
+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "5809": {
+      "content": "�",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100256": {
+      "content": "<|dummy_0|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100257": {
+      "content": "<|endoftext|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100258": {
+      "content": "<|fim_prefix|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100259": {
+      "content": "<|fim_middle|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100260": {
+      "content": "<|fim_suffix|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100261": {
+      "content": "<|dummy_1|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100262": {
+      "content": "<|dummy_2|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100263": {
+      "content": "<|dummy_3|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100264": {
+      "content": "<|im_start|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100265": {
+      "content": "<|im_end|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100266": {
+      "content": "<|im_sep|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100267": {
+      "content": "<|dummy_4|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100268": {
+      "content": "<|dummy_5|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100269": {
+      "content": "<|dummy_6|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100270": {
+      "content": "<|dummy_7|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100271": {
+      "content": "<|dummy_8|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100272": {
+      "content": "<|dummy_9|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100273": {
+      "content": "<|dummy_10|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100274": {
+      "content": "<|dummy_11|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100275": {
+      "content": "<|dummy_12|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100276": {
+      "content": "<|endofprompt|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100277": {
+      "content": "<|dummy_13|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100278": {
+      "content": "<|dummy_14|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100279": {
+      "content": "<|dummy_15|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100280": {
+      "content": "<|dummy_16|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100281": {
+      "content": "<|dummy_17|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100282": {
+      "content": "<|dummy_18|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100283": {
+      "content": "<|dummy_19|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100284": {
+      "content": "<|dummy_20|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100285": {
+      "content": "<|dummy_21|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100286": {
+      "content": "<|dummy_22|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100287": {
+      "content": "<|dummy_23|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100288": {
+      "content": "<|dummy_24|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100289": {
+      "content": "<|dummy_25|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100290": {
+      "content": "<|dummy_26|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100291": {
+      "content": "<|dummy_27|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100292": {
+      "content": "<|dummy_28|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100293": {
+      "content": "<|dummy_29|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100294": {
+      "content": "<|dummy_30|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100295": {
+      "content": "<|dummy_31|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100296": {
+      "content": "<|dummy_32|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100297": {
+      "content": "<|dummy_33|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100298": {
+      "content": "<|dummy_34|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100299": {
+      "content": "<|dummy_35|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100300": {
+      "content": "<|dummy_36|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100301": {
+      "content": "<|dummy_37|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100302": {
+      "content": "<|dummy_38|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100303": {
+      "content": "<|dummy_39|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100304": {
+      "content": "<|dummy_40|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100305": {
+      "content": "<|dummy_41|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100306": {
+      "content": "<|dummy_42|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100307": {
+      "content": "<|dummy_43|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100308": {
+      "content": "<|dummy_44|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100309": {
+      "content": "<|dummy_45|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100310": {
+      "content": "<|dummy_46|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100311": {
+      "content": "<|dummy_47|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100312": {
+      "content": "<|dummy_48|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100313": {
+      "content": "<|dummy_49|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100314": {
+      "content": "<|dummy_50|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100315": {
+      "content": "<|dummy_51|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100316": {
+      "content": "<|dummy_52|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100317": {
+      "content": "<|dummy_53|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100318": {
+      "content": "<|dummy_54|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100319": {
+      "content": "<|dummy_55|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100320": {
+      "content": "<|dummy_56|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100321": {
+      "content": "<|dummy_57|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100322": {
+      "content": "<|dummy_58|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100323": {
+      "content": "<|dummy_59|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100324": {
+      "content": "<|dummy_60|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100325": {
+      "content": "<|dummy_61|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100326": {
+      "content": "<|dummy_62|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100327": {
+      "content": "<|dummy_63|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100328": {
+      "content": "<|dummy_64|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100329": {
+      "content": "<|dummy_65|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100330": {
+      "content": "<|dummy_66|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100331": {
+      "content": "<|dummy_67|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100332": {
+      "content": "<|dummy_68|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100333": {
+      "content": "<|dummy_69|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100334": {
+      "content": "<|dummy_70|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100335": {
+      "content": "<|dummy_71|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100336": {
+      "content": "<|dummy_72|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100337": {
+      "content": "<|dummy_73|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100338": {
+      "content": "<|dummy_74|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100339": {
+      "content": "<|dummy_75|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100340": {
+      "content": "<|dummy_76|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100341": {
+      "content": "<|dummy_77|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100342": {
+      "content": "<|dummy_78|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100343": {
+      "content": "<|dummy_79|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100344": {
+      "content": "<|dummy_80|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100345": {
+      "content": "<|dummy_81|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100346": {
+      "content": "<|dummy_82|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100347": {
+      "content": "<|dummy_83|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100348": {
+      "content": "<|dummy_84|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100349": {
+      "content": "<|dummy_85|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100350": {
+      "content": "<|dummy_86|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "100351": {
+      "content": "<|dummy_87|>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<|endoftext|>",
+  "chat_template": "{% for message in messages %}{% if (message['role'] == 'system') %}{{'<|im_start|>system<|im_sep|>' + message['content'] + '<|im_end|>'}}{% elif (message['role'] == 'user') %}{{'<|im_start|>user<|im_sep|>' + message['content'] + '<|im_end|>'}}{% elif (message['role'] == 'assistant') %}{{'<|im_start|>assistant<|im_sep|>' + message['content'] + '<|im_end|>'}}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant<|im_sep|>' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "extra_special_tokens": {},
+  "model_max_length": 16384,
+  "pad_token": "<|dummy_87|>",
+  "padding_side": "left",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "�"
+}