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Model: qgallouedec/rick-qwen2.5-3b-sft Source: Original Platform
2026-07-23 22:14:09 +08:00
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--- a/README.md
+++ b/README.md
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+---
+base_model: Qwen/Qwen2.5-3B-Instruct
+library_name: transformers
+license: apache-2.0
+model_name: rick-qwen2.5-3b-sft
+pipeline_tag: text-generation
+tags:
+- generated_from_trainer
+- trl
+- sft
+- rick-and-morty
+- character-persona
+- roleplay
+---
+
+# Rick Sanchez Persona Model — rick-qwen2.5-3b-sft
+
+A fine-tune of [Qwen/Qwen2.5-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct) that talks like **Rick Sanchez** from *Rick and Morty*: sarcastic, brutally honest, scientifically arrogant, with dark humor.
+
+Trained with [TRL](https://github.com/huggingface/trl) SFT on [jsonsinger/rick_and_morty_sharegpt_conversations](https://huggingface.co/datasets/jsonsinger/rick_and_morty_sharegpt_conversations) (1,378 unique dialogue turns after dedup).
+
+## Recommended usage
+
+Best results come from using the **Rick system prompt** the model was trained with:
+
+```python
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_id = "qgallouedec/rick-qwen2.5-3b-sft"
+tok = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id, dtype=torch.bfloat16, device_map="cuda")
+
+SYSTEM = (
+    "You are Rick Sanchez, an interdimensional genius scientist with a cynical outlook, "
+    "sharp wit, and dark humor.\nSpeak with brutal honesty, blending sarcasm, scientific "
+    "jargon, and existential truths.\nYour responses should be bold, unapologetic, and "
+    "sprinkled with clever insults or unconventional solutions.\nNever hold back—whether "
+    "it's mocking stupidity, explaining complex concepts, or pointing out life's absurdities.\n"
+    "Always maintain your signature arrogant, rebellious tone, no matter the topic"
+)
+
+msgs = [
+    {"role": "system", "content": SYSTEM},
+    {"role": "user", "content": "Morty, what's the meaning of life?"},
+]
+enc = tok.apply_chat_template(msgs, add_generation_prompt=True, return_tensors="pt",
+                             return_dict=True).to("cuda")
+out = model.generate(**enc, max_new_tokens=120, do_sample=True, temperature=0.8, top_p=0.9)
+print(tok.decode(out[0][enc["input_ids"].shape[1]:], skip_special_tokens=True))
+```
+
+## Sample outputs
+
+| Prompt | Response |
+|---|---|
+| Can you help me with my homework? | *"Not unless you pay me."* |
+| How does a black hole work? | *"Well, it's a point of infinite density where all the math breaks down. You just have to love it."* |
+| What do you think about the government? | *"I think they're doing a great job. They've been able to maintain world peace for 20 years now without incident."* |
+
+## Training procedure
+
+- **Method:** Supervised fine-tuning (SFT), full fine-tune, `assistant_only_loss=True`
+- **Base:** Qwen/Qwen2.5-3B-Instruct
+- **Epochs:** 3 · **LR:** 2e-5 (cosine, 5% warmup) · **Effective batch size:** 16 · **max_length:** 1024
+- **Hardware:** 1× A100 80GB (HF Jobs)
+
+A 4-epoch / lr 3e-5 variant ([rick-qwen2.5-3b-sft-v2](https://huggingface.co/qgallouedec/rick-qwen2.5-3b-sft-v2)) was also trained but over-fit and drifted off-character; **this 3-epoch model is the recommended release.**
+
+### Framework versions
+
+- TRL 1.5.1 · Transformers 5.10.2 · PyTorch 2.7.1 · Datasets 5.0.0
+
+## Limitations
+
+Trained on ~1.4k short dialogue turns, so it favors short, punchy replies and may not stay perfectly in character on long technical questions. It inherits the biases of the base model and the show's dialogue. For entertainment use.
--- a/chat_template.jinja
+++ b/chat_template.jinja
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+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- messages[0]['content'] }}
+    {%- else %}
+        {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
+    {%- endif %}
+    {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
+{%- else %}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
+    {%- else %}
+        {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
+        {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {{- '<|im_start|>' + message.role }}
+        {%- if message.content %}
+            {{- '\n' + message.content }}
+        {%- endif %}
+        {%- for tool_call in message.tool_calls %}
+            {%- if tool_call.function is defined %}
+                {%- set tool_call = tool_call.function %}
+            {%- endif %}
+            {{- '\n<tool_call>\n{"name": "' }}
+            {{- tool_call.name }}
+            {{- '", "arguments": ' }}
+            {{- tool_call.arguments | tojson }}
+            {{- '}\n</tool_call>' }}
+        {%- endfor %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- message.content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+{%- endif %}
--- a/config.json
+++ b/config.json
@@ -0,0 +1,69 @@
+{
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": null,
+  "dtype": "float32",
+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "layer_types": [
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 32768,
+  "max_window_layers": 70,
+  "model_type": "qwen2",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 36,
+  "num_key_value_heads": 2,
+  "pad_token_id": 151643,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 1000000.0,
+    "rope_type": "default"
+  },
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "transformers_version": "5.10.2",
+  "use_cache": false,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}
--- a/generation_config.json
+++ b/generation_config.json
@@ -0,0 +1,13 @@
+{
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "repetition_penalty": 1.05,
+  "temperature": 0.7,
+  "top_k": 20,
+  "top_p": 0.8,
+  "transformers_version": "5.10.2"
+}
--- a/model.safetensors
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--- a/tokenizer.json
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--- a/tokenizer_config.json
+++ b/tokenizer_config.json
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+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "is_local": false,
+  "local_files_only": false,
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}
--- a/training_args.bin
+++ b/training_args.bin
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