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Model: Lyte/Gemma-3-1B-Moroccan-Instruct
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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+*.ckpt filter=lfs diff=lfs merge=lfs -text
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+*.mlmodel filter=lfs diff=lfs merge=lfs -text
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+tokenizer.json filter=lfs diff=lfs merge=lfs -text
+gemma-3-1b-moroccan-instruct-q4_k_m.gguf filter=lfs diff=lfs merge=lfs -text
+gemma-3-1b-moroccan-instruct-q8_0.gguf filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+base_model: unsloth/gemma-3-1b-it-unsloth-bnb-4bit
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- gemma3_text
+- gguf
+license: apache-2.0
+language:
+- ary
+datasets:
+- Lyte/Moroccan-QA-Extended
+pipeline_tag: text-generation
+library_name: unsloth
+---
+
+# Gemma-3-1B Moroccan Instruct (test finetune)
+
+- **Developed by:** Lyte
+- **License:** Apache-2.0
+- **Base model:** `unsloth/gemma-3-1b-it-unsloth-bnb-4bit`
+- **Dataset:** `Lyte/Moroccan-QA-Extended` (with additional English Questions -> Moroccan Darija Answers)
+- **Language:** Moroccan Arabic (Darija)
+
+## How to use in LM Studio
+
+You can easily run this model in LM Studio using the preset configuration. Click the badge below to open the model directly in LM Studio:
+
+[<img src="https://pbs.twimg.com/profile_images/1755060270173429760/4WVc54_p_400x400.jpg" alt="Open in LM Studio" width="32"/>](https://lmstudio.ai/lyte/gemma-3-moroccan)
+
+### GGUF Quants:
+
+- **Q8_0:** [gemma-3-1b-moroccan-instruct-q8_0.gguf](https://huggingface.co/Lyte/Gemma-3-1B-Moroccan-Instruct/resolve/main/gemma-3-1b-moroccan-instruct-q8_0.gguf?download=true)
+- **Q4_K_M:** [gemma-3-1b-moroccan-instruct-q4_k_m.gguf](https://huggingface.co/Lyte/Gemma-3-1B-Moroccan-Instruct/resolve/main/gemma-3-1b-moroccan-instruct-q4_k_m.gguf?download=true)
+
+
+## Inference Example
+
+Here is an example of the model's output in LM Studio, answering a question about Newton's law of universal gravitation in Moroccan Darija.
+
+### Q: what is the capital of France?
+![Inference Example 1](https://huggingface.co/Lyte/Gemma-3-1B-Moroccan-Instruct/resolve/main/capital.png)
+
+### Q: شرح ليا كيفاش الجادبية كتخدم؟
+![Inference Example 2](https://huggingface.co/Lyte/Gemma-3-1B-Moroccan-Instruct/resolve/main/gravity.png)
+
+### Inference Settings:
+
+![Inference Settings](https://huggingface.co/Lyte/Gemma-3-1B-Moroccan-Instruct/resolve/main/sampling.png)
+
+
+---
+
+## Training Details
+
+- **Max Length:** 1024 tokens
+- **Epochs:** 3
+- **Total Steps:** 843
+- **Batch size:** 2 (per device)
+- **Gradient Accumulation:** 4 (Total effective batch size: 16)
+- **Learning rate:** 2e-4
+- **Optimizer:** 8-bit AdamW
+- **Scheduler:** Linear
+- **Weight decay:** 0.01
+- **Seed:** 3407
+- **Num of Examples:** 4,495
+- **Trainable Parameters:** 52.18M (4.96%)
+- **Training Time:** ~1 hour on a single GPU.
+
+This was the **first test finetune run**, not a final production model. Training was done using **Unsloth** for speedup and Hugging Face TRL for supervised finetuning.
+
+---
+
+## Results
+
+- **Training Loss:** From **2.171600** to **0.9392** (at final step 843)
+- **Evaluation Loss:** From **2.198849** to **1.5074** (at final step 800)
+
+Training converged without issues. The loss metrics show expected early-stage improvement, but this checkpoint is **experimental** and requires further tuning and validation before use.
+
+---
+
+## Limitations
+
+- Experimental model — not yet optimized or fully Moroccan-Darija-aligned.
+- Performance outside Moroccan Arabic QA tasks may be limited.
+- Further finetuning and evaluation are needed before production use.
+
+## Uploaded finetuned model
+
+- **Developed by:** Lyte
+- **License:** apache-2.0
+- **Finetuned from model :** unsloth/gemma-3-1b-it-unsloth-bnb-4bit
+
+This gemma3_text model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

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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+{
+    "_sliding_window_pattern": 6,
+    "architectures": [
+        "Gemma3ForCausalLM"
+    ],
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "attn_logit_softcapping": null,
+    "bos_token_id": 2,
+    "cache_implementation": "hybrid",
+    "eos_token_id": 106,
+    "final_logit_softcapping": null,
+    "head_dim": 256,
+    "hidden_activation": "gelu_pytorch_tanh",
+    "hidden_size": 1152,
+    "initializer_range": 0.02,
+    "intermediate_size": 6912,
+    "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"
+    ],
+    "max_position_embeddings": 32768,
+    "model_type": "gemma3_text",
+    "num_attention_heads": 4,
+    "num_hidden_layers": 26,
+    "num_key_value_heads": 1,
+    "pad_token_id": 0,
+    "query_pre_attn_scalar": 256,
+    "rms_norm_eps": 1e-06,
+    "rope_local_base_freq": 10000,
+    "rope_scaling": null,
+    "rope_theta": 1000000,
+    "sliding_window": 512,
+    "torch_dtype": "float16",
+    "transformers_version": "4.55.4",
+    "unsloth_fixed": true,
+    "unsloth_version": "2025.9.4",
+    "use_cache": true,
+    "vocab_size": 262144
+}

gemma-3-1b-moroccan-instruct-q4_k_m.gguf

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gemma-3-1b-moroccan-instruct-q8_0.gguf

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generation_config.json

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+{
+  "bos_token_id": 2,
+  "cache_implementation": "hybrid",
+  "do_sample": true,
+  "eos_token_id": [
+    1,
+    106
+  ],
+  "max_length": 32768,
+  "pad_token_id": 0,
+  "top_k": 64,
+  "top_p": 0.95,
+  "transformers_version": "4.55.4"
+}

model.safetensors

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special_tokens_map.json

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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": "<end_of_turn>",
+    "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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tokenizer.model

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