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Model: Indexnusrefather/gemma-3-4b-it-roleplay-tuned-v1
Source: Original Platform

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
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+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
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+*.safetensors filter=lfs diff=lfs merge=lfs -text
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+gemma-3-4b-it-roleplay-tuned.BF16-mmproj.gguf filter=lfs diff=lfs merge=lfs -text
+gemma-3-4b-it-roleplay-tuned.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text
+gemma-3-4b-it-roleplay-tuned.BF16.gguf filter=lfs diff=lfs merge=lfs -text
+gemma-3-4b-it-roleplay-tuned.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+gemma-3-4b-it-roleplay-tuned.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+gemma-3-4b-it-roleplay-tuned.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+license: gemma
+datasets:
+- ChaoticNeutrals/Gryphes-Sonnet3.5-Charcard-Roleplay-Heavy_Filtering
+language:
+- en
+base_model:
+- google/gemma-3-4b-it
+pipeline_tag: text-generation
+tags:
+- rp
+- roleplay
+- creative
+- writer
+- gemma3
+- lora
+- finetune
+- experimental
+---
+
+# What is it?
+This model is my attempt at further improving the results of LFM2.5 1.2b instruct finetune, since 1.2b is very little, I decided to work on a heavier, but still somewhat tiny architecture. So why not qwen 3.5 4b? I honestly tested, hell, even made a similar finetune on it, but roleplay wise, gemma 3 felt better to me.
+
+## But generally, this is me trying to create a portable model that anybody can run, I am doing my best to make those smaller models do roleplay.
+
+# A word on how good is it:
+## Advantages:
+* Better writing
+* less slop
+* small size
+* improved punctuation
+## Disadvantages:
+* Logic is massively improved over LFM 2.5 1.2b tune, but is not ideal
+* Due to being a rather small model, it will tend to sometimes repeat itself, altough I did my best to prevent this from happening
+
+# A word on the quants for this model:
+* BF16- Mostly overkill, however, highest quality
+* Q8_0- Amazing quality, near lossless
+* Q6_K- High quality, fast
+* Q5_K_M- Mid to high quality, small and fast
+* Q4_K_M- Mid quality, very small and very fast
+
+Quants are located in the repo, along with safetensors
+
+# V2:
+v2 is on the way, I am training it on way larger dataset(17M unique tokens of roleplay data). It will improve current results, and I will make sure it will do so without overfitting. I will continue making small roleplay tunes in order to make local roleplay possible for anyone, no matter the hardware.

added_tokens.json

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+{
+  "<image_soft_token>": 262144
+}

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 -%}

config.json

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+{
+    "architectures": [
+        "Gemma3ForConditionalGeneration"
+    ],
+    "boi_token_index": 255999,
+    "bos_token_id": 2,
+    "torch_dtype": "bfloat16",
+    "eoi_token_index": 256000,
+    "eos_token_id": 106,
+    "image_token_index": 262144,
+    "initializer_range": 0.02,
+    "mm_tokens_per_image": 256,
+    "model_name": "unsloth/gemma-3-4b-it-unsloth-bnb-4bit",
+    "model_type": "gemma3",
+    "pad_token_id": 0,
+    "text_config": {
+        "_sliding_window_pattern": 6,
+        "attention_bias": false,
+        "attention_dropout": 0.0,
+        "attn_logit_softcapping": null,
+        "cache_implementation": "hybrid",
+        "torch_dtype": "bfloat16",
+        "final_logit_softcapping": null,
+        "head_dim": 256,
+        "hidden_activation": "gelu_pytorch_tanh",
+        "hidden_size": 2560,
+        "initializer_range": 0.02,
+        "intermediate_size": 10240,
+        "layer_types": [
+            "sliding_attention",
+            "sliding_attention",
+            "sliding_attention",
+            "sliding_attention",
+            "sliding_attention",
+            "full_attention",
+            "sliding_attention",
+            "sliding_attention",
+            "sliding_attention",
+            "sliding_attention",
+            "sliding_attention",
+            "full_attention",
+            "sliding_attention",
+            "sliding_attention",
+            "sliding_attention",
+            "sliding_attention",
+            "sliding_attention",
+            "full_attention",
+            "sliding_attention",
+            "sliding_attention",
+            "sliding_attention",
+            "sliding_attention",
+            "sliding_attention",
+            "full_attention",
+            "sliding_attention",
+            "sliding_attention",
+            "sliding_attention",
+            "sliding_attention",
+            "sliding_attention",
+            "full_attention",
+            "sliding_attention",
+            "sliding_attention",
+            "sliding_attention",
+            "sliding_attention"
+        ],
+        "max_position_embeddings": 131072,
+        "model_type": "gemma3_text",
+        "num_attention_heads": 8,
+        "num_hidden_layers": 34,
+        "num_key_value_heads": 4,
+        "query_pre_attn_scalar": 256,
+        "rms_norm_eps": 1e-06,
+        "rope_local_base_freq": 10000.0,
+        "rope_scaling": {
+            "factor": 8.0,
+            "rope_type": "linear"
+        },
+        "rope_theta": 1000000.0,
+        "sliding_window": 1024,
+        "sliding_window_pattern": 6,
+        "use_bidirectional_attention": false,
+        "use_cache": false,
+        "vocab_size": 262208
+    },
+    "unsloth_fixed": true,
+    "unsloth_version": "2026.6.8",
+    "vision_config": {
+        "attention_dropout": 0.0,
+        "torch_dtype": "bfloat16",
+        "hidden_act": "gelu_pytorch_tanh",
+        "hidden_size": 1152,
+        "image_size": 896,
+        "intermediate_size": 4304,
+        "layer_norm_eps": 1e-06,
+        "model_type": "siglip_vision_model",
+        "num_attention_heads": 16,
+        "num_channels": 3,
+        "num_hidden_layers": 27,
+        "patch_size": 14,
+        "vision_use_head": false
+    }
+}

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processor_config.json

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special_tokens_map.json

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