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Model: Daizee/Dirty-Calla-4B
Source: Original Platform

.gitattributes

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README.md

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+---
+model-name: Dirty-Calla (4B)
+license: other
+base_model: Daizee/Gemma3-Callous-Calla-4B
+library_name: transformers
+pipeline_tag: text-generation
+language:
+- en
+tags:
+- gemma
+- gemma-3
+- 4b
+- sft
+- lora
+- lora-merged
+- gguf
+- llama.cpp
+- text-generation
+- creative-writing
+datasets:
+- private
+---
+
+# Dirty-Calla (4B)
+
+**Dirty-Calla** is a light **style SFT** of `Daizee/Gemma3-Callous-Calla-4B`. It was trained on a dataset of fanfiction with user prompts (eg Write me a story with XXX character and XXX theme.) Initial data was synthetically increased from ~360 to 3000. The idea is to prompt Dirty Calla to write short fictional stories with tags and general, big picture idea.
+
+This repo contains:
+- **Merged Transformers weights** (`./`): LoRA merged into the base for easy inference with `transformers`.
+- **LoRA adapters** (`./adapters/`): for reproducibility or further fine-tuning.
+- **GGUF builds** (`./gguf/`): for fast, local inference via `llama.cpp` runtimes.
+
+> **Note:** You are responsible for the content you generate and how you distribute it. Follow all applicable laws and platform policies. Respect the **Gemma** license and Hugging Face terms.
+
+---
+
+## 🧱 Base & Provenance
+
+- **Base model:** `Daizee/Gemma3-Callous-Calla-4B` (merged from Gemma-3 4B IT derivatives via TIES; tokenizer from the Gemma-3 family).
+- **Architecture:** Gemma-3 4B (instruction-tuned).
+- **Training method:** Light **LoRA SFT** (single epoch by default) on curated, style-targeted dialogs; adapters merged into base after training.
+
+---
+
+## 📦 Files
+
+### Transformers (merged)
+- `config.json`, `model-00001/2-of-00002.safetensors`, `tokenizer.json`, `tokenizer.model` (SPM), etc.
+
+### Adapters (optional)
+- `adapters/checkpoint-*/adapter_model.safetensors`, `adapter_config.json`, etc.
+
+### GGUF (llama.cpp)
+- `gguf/dirty-calla-q8_0.gguf` — near-lossless quality.
+- `gguf/dirty-calla-q5_k_m.gguf` — **recommended** quality/speed sweet spot.
+- `gguf/dirty-calla-q4_0.gguf` — compact “plain q4”.
+- *(optional)* `gguf/dirty-calla-q4_k_m.gguf` — smaller with improved quality vs q4_0 in many cases.
+
+> If you don’t see a particular quant, it may not have been uploaded yet.
+
+---
+
+**SAMPLE of Q8_0)**
+
+Prompt: write a sensual story of two college rivals on a trip who get stuck sharing a hotel room because of a mix up.
+
+Output: The rain in New Orleans was relentless, a humid, clinging sort of rain that seemed to seep into your bones. I’d been battling it all day, trying to coax a decent grade out of my history paper. Now, huddled under the thin blanket of a hotel bed, I was stuck sharing a room with Damien Vance, my rival from the college debating team. 
+
+He’d booked the room under his name. It turns out he was a bit of a forgetful booker. After an hour of frantic phone calls and a lot of sighs, it was decided we’d share. At least it was warm. 
+
+He was sprawled across the bed, scrolling through his phone. I was trying to ignore the fact that his arm was practically brushing mine. It wasn't a full-on, sweaty embrace, but it was close.  He had that whole brooding, intellectual thing going on—dark hair, sharp eyes, and a jawline that could cut glass. 
+
+We'd been rivals for months, locked in a silent war over every debate point. I’d always suspected he was secretly attracted to me, the one girl who could actually give him a run for his money.  The thought had always made me a little uncomfortable.  
+
+"So," he said, without looking up. "This is...less than ideal."
+
+"Tell me about it," I muttered, pulling the blanket tighter. "I’m pretty sure I’m going to get a nosebleed from the lack of personal space."
+
+He finally raised his head and looked at me. "You're...not wrong." He paused, then a small, almost imperceptible smile played on his lips. "I’ve always enjoyed your company, Elara. Even when you're making me look like an idiot."
+
+My cheeks flushed. "Yeah, well, you're not always wrong." 
+
+A silence fell between us, filled only with the drumming of the rain on the window. He shifted, and I realized his arm was still close to mine. I could feel the warmth of his skin. I instinctively reached out and rested my hand on his. His fingers curled around mine. I didn't pull away. It was a tentative connection, but it felt right. 
+
+"You know," he murmured, his voice low, "this rain is pretty amazing. It makes you feel like you're part of something big. Something important."
+
+I looked out the window at the rain. It did feel like that, like the whole city was being washed clean. Then, I looked back at Damien. His eyes were dark and intense.  His gaze traveled from my lips to my eyes, then down my body. The tension in the room was almost palpable. I could feel his breath on my cheek as he leaned closer. 
+
+"Maybe," he whispered, his voice husky with emotion. "Maybe we should make this trip a little more memorable." 
+
+He took a step closer, and I found myself leaning into him. It wasn't a struggle. There was an unspoken understanding between us. A need, almost. I reached up and ran my fingers through his dark hair, pulling him closer. His scent—a mix of old books and something subtly musky—filled my senses. It was intoxicating. 
+
+Suddenly, he moved again, his lips brushing mine. It was a quick, tentative kiss. I closed my eyes and responded. It wasn’t a passionate kiss. It was something far more primal. It was a kiss of need and curiosity and a little bit of desperation. A collision of the minds that had battled for so long, and the bodies that now lay entwined. 
+
+He deepened the kiss, and I didn’t resist. It was like the rain outside—relentless, insistent, and undeniably alluring.
+
+

adapters/README.md

@@ -0,0 +1,62 @@
+---
+base_model: Daizee/Gemma3-Callous-Calla-4B
+library_name: peft
+model_name: trl-out
+tags:
+- base_model:adapter:Daizee/Gemma3-Callous-Calla-4B
+- lora
+- sft
+- transformers
+- trl
+licence: license
+pipeline_tag: text-generation
+---
+
+# Model Card for trl-out
+
+This model is a fine-tuned version of [Daizee/Gemma3-Callous-Calla-4B](https://huggingface.co/Daizee/Gemma3-Callous-Calla-4B).
+It has been trained using [TRL](https://github.com/huggingface/trl).
+
+## Quick start
+
+```python
+from transformers import pipeline
+
+question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
+generator = pipeline("text-generation", model="None", device="cuda")
+output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
+print(output["generated_text"])
+```
+
+## Training procedure
+
+ 
+
+
+This model was trained with SFT.
+
+### Framework versions
+
+- PEFT 0.17.1
+- TRL: 0.24.0
+- Transformers: 4.57.1
+- Pytorch: 2.8.0+cu126
+- Datasets: 4.3.0
+- Tokenizers: 0.22.1
+
+## Citations
+
+
+
+Cite TRL as:
+    
+```bibtex
+@misc{vonwerra2022trl,
+	title        = {{TRL: Transformer Reinforcement Learning}},
+	author       = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
+	year         = 2020,
+	journal      = {GitHub repository},
+	publisher    = {GitHub},
+	howpublished = {\url{https://github.com/huggingface/trl}}
+}
+```

adapters/adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "Daizee/Gemma3-Callous-Calla-4B",
+  "bias": "none",
+  "corda_config": null,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.15,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "down_proj",
+    "q_proj",
+    "k_proj",
+    "o_proj",
+    "gate_proj",
+    "v_proj",
+    "up_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

adapters/adapter_model.safetensors

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adapters/checkpoint-87/README.md

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+---
+base_model: Daizee/Gemma3-Callous-Calla-4B
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Daizee/Gemma3-Callous-Calla-4B
+- lora
+- sft
+- transformers
+- trl
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.17.1

adapters/checkpoint-87/adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "Daizee/Gemma3-Callous-Calla-4B",
+  "bias": "none",
+  "corda_config": null,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
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+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.15,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "down_proj",
+    "q_proj",
+    "k_proj",
+    "o_proj",
+    "gate_proj",
+    "v_proj",
+    "up_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

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adapters/checkpoint-87/chat_template.jinja

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+{{ bos_token }}
+{%- if messages[0]['role'] == 'system' -%}
+    {%- if messages[0]['content'] is string -%}
+        {%- set first_user_prefix = messages[0]['content'] + '
+
+' -%}
+    {%- else -%}
+        {%- set first_user_prefix = messages[0]['content'][0]['text'] + '
+
+' -%}
+    {%- endif -%}
+    {%- set loop_messages = messages[1:] -%}
+{%- else -%}
+    {%- set first_user_prefix = "" -%}
+    {%- set loop_messages = messages -%}
+{%- endif -%}
+{%- for message in loop_messages -%}
+    {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
+        {{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
+    {%- endif -%}
+    {%- if (message['role'] == 'assistant') -%}
+        {%- set role = "model" -%}
+    {%- else -%}
+        {%- set role = message['role'] -%}
+    {%- endif -%}
+    {{ '<start_of_turn>' + role + '
+' + (first_user_prefix if loop.first else "") }}
+    {%- if message['content'] is string -%}
+        {{ message['content'] | trim }}
+    {%- elif message['content'] is iterable -%}
+        {%- for item in message['content'] -%}
+            {%- if item['type'] == 'image' -%}
+                {{ '<start_of_image>' }}
+            {%- elif item['type'] == 'text' -%}
+                {{ item['text'] | trim }}
+            {%- endif -%}
+        {%- endfor -%}
+    {%- else -%}
+        {{ raise_exception("Invalid content type") }}
+    {%- endif -%}
+    {{ '<end_of_turn>
+' }}
+{%- endfor -%}
+{%- if add_generation_prompt -%}
+    {{'<start_of_turn>model
+'}}
+{%- endif -%}

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+{
+  "boi_token": "<start_of_image>",
+  "bos_token": {
+    "content": "<bos>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eoi_token": "<end_of_image>",
+  "eos_token": {
+    "content": "<eos>",
+    "lstrip": false,
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+  "image_token": "<image_soft_token>",
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+    "content": "<unk>",
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+  }
+}

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+{{ bos_token }}
+{%- if messages[0]['role'] == 'system' -%}
+    {%- if messages[0]['content'] is string -%}
+        {%- set first_user_prefix = messages[0]['content'] + '
+
+' -%}
+    {%- else -%}
+        {%- set first_user_prefix = messages[0]['content'][0]['text'] + '
+
+' -%}
+    {%- endif -%}
+    {%- set loop_messages = messages[1:] -%}
+{%- else -%}
+    {%- set first_user_prefix = "" -%}
+    {%- set loop_messages = messages -%}
+{%- endif -%}
+{%- for message in loop_messages -%}
+    {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
+        {{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
+    {%- endif -%}
+    {%- if (message['role'] == 'assistant') -%}
+        {%- set role = "model" -%}
+    {%- else -%}
+        {%- set role = message['role'] -%}
+    {%- endif -%}
+    {{ '<start_of_turn>' + role + '
+' + (first_user_prefix if loop.first else "") }}
+    {%- if message['content'] is string -%}
+        {{ message['content'] | trim }}
+    {%- elif message['content'] is iterable -%}
+        {%- for item in message['content'] -%}
+            {%- if item['type'] == 'image' -%}
+                {{ '<start_of_image>' }}
+            {%- elif item['type'] == 'text' -%}
+                {{ item['text'] | trim }}
+            {%- endif -%}
+        {%- endfor -%}
+    {%- else -%}
+        {{ raise_exception("Invalid content type") }}
+    {%- endif -%}
+    {{ '<end_of_turn>
+' }}
+{%- endfor -%}
+{%- if add_generation_prompt -%}
+    {{'<start_of_turn>model
+'}}
+{%- endif -%}

config.json

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+    "num_channels": 3,
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+    "patch_size": 14,
+    "vision_use_head": false
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+  "pad_token_id": 0,
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+    "vision_tower.vision_model.encoder.layers.9.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "vision_tower.vision_model.encoder.layers.9.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "vision_tower.vision_model.encoder.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "vision_tower.vision_model.encoder.layers.9.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "vision_tower.vision_model.encoder.layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "vision_tower.vision_model.post_layernorm.bias": "model-00001-of-00002.safetensors",
+    "vision_tower.vision_model.post_layernorm.weight": "model-00001-of-00002.safetensors"
+  }
+}

special_tokens_map.json

@@ -0,0 +1,33 @@
+{
+  "boi_token": "<start_of_image>",
+  "bos_token": {
+    "content": "<bos>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eoi_token": "<end_of_image>",
+  "eos_token": {
+    "content": "<eos>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "image_token": "<image_soft_token>",
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4667f2089529e8e7657cfb6d1c19910ae71ff5f28aa7ab2ff2763330affad795
+size 33384568