commit a060486d55158cad25bf3cc2155290ccddde5d87
Author: ModelHub XC <noreply@modelhub.org.cn>
Date:   Fri Jul 24 15:17:11 2026 +0800

    初始化项目，由ModelHub XC社区提供模型
    
    Model: ciskoM/wolof-qwen-1.5b
    Source: Original Platform

diff --git a/.gitattributes b/.gitattributes
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diff --git a/README.md b/README.md
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+---
+license: cc-by-nc-4.0
+language:
+- wo
+- fr
+- en
+base_model: Qwen/Qwen2.5-1.5B-Instruct
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- wolof
+- senegal
+- translation
+- low-resource
+- qwen2.5
+- unsloth
+- lora
+---
+
+# Wolof Qwen2.5-1.5B — conversational + translation (wo · fr · en)
+
+A fine-tune of **Qwen2.5-1.5B-Instruct** for the **Wolof** language. It can hold a
+chat conversation and translate between **Wolof ↔ French ↔ English**.
+
+Trained with [Unsloth](https://github.com/unslothai/unsloth) (QLoRA, 4-bit) on a
+single GPU.
+
+## Intended use
+
+- Wolof ⇄ French ⇄ English translation inside a chat interface
+- Experiments and research on low-resource (Wolof) language modelling
+- A base to iterate on with more conversational Wolof data
+
+## How to use
+
+**Transformers**
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+tok = AutoTokenizer.from_pretrained("ciskoM/wolof-qwen-1.5b")
+model = AutoModelForCausalLM.from_pretrained("ciskoM/wolof-qwen-1.5b", device_map="auto")
+
+msgs = [{"role": "user", "content": "Translate to Wolof: Good morning, how are you?"}]
+ids = tok.apply_chat_template(msgs, add_generation_prompt=True, return_tensors="pt").to(model.device)
+print(tok.decode(model.generate(ids, max_new_tokens=64)[0], skip_special_tokens=True))
+```
+
+**GGUF (Ollama / LM Studio / llama.cpp)** — see the companion repo
+`ciskoM/wolof-qwen-1.5b-gguf` (q4_k_m). With Ollama:
+```bash
+ollama create wolof -f Modelfile   # Modelfile: FROM ./wolof-qwen.Q4_K_M.gguf
+ollama run wolof
+```
+
+Example prompts: `Translate to Wolof: …`, `Traduis en wolof : …`,
+`What does "Jamm rekk" mean in English?`, `Nanga def?`
+
+## Training data
+
+~120k instruction pairs (ShareGPT format), balanced across translation
+directions plus monolingual Wolof:
+
+| Source | Content |
+|---|---|
+| `bilalfaye/english-wolof-french-translation` | aligned en/wo/fr sentences |
+| `galsenai/centralized_wolof_french_translation_data` | aligned wo/fr sentences |
+| ALMA / DLIR Wolof e-books (13) | OCR'd authentic Wolof prose |
+| wolofresources.org PDFs + UDHR Wolof | proverbs, tales, vocabulary |
+| Wolof New Testament (bibliamundi) | clean verse-numbered scripture |
+
+The dataset is ~96% translation pairs; bidirectional pairs (en2wo, wo2en,
+fr2wo, wo2fr) were generated with varied prompt templates.
+
+## Training procedure
+
+- Base: `Qwen/Qwen2.5-1.5B-Instruct`, loaded 4-bit
+- LoRA: r=16, alpha=16, dropout=0, on all attention + MLP projections
+- 1 epoch, lr 2e-4, linear schedule, adamw_8bit, seq len 2048
+- Trained on assistant responses only (`train_on_responses_only`)
+- Tooling: Unsloth + TRL `SFTTrainer`/`SFTConfig`
+
+## Limitations & honest caveats
+
+- **Translation > conversation.** Because the data is overwhelmingly translation
+  pairs, the model is strong at translating but **limited at free-flowing Wolof
+  conversation**. More conversational Wolof data is the fix, not a bigger model.
+- Wolof is low-resource; expect errors, especially on rare topics, long inputs,
+  and Wolof orthography variants.
+- Some training text came from OCR (scanned PDFs) and subtitle-sourced corpora —
+  there may be noise, odd register, or artifacts.
+- Not safety-tuned; do not use for high-stakes decisions.
+
+## Data & licensing note
+
+Model weights derive from Qwen2.5 (Apache-2.0). However, the **training data
+provenance is mixed**: the translation corpora are subtitle/film-sourced and the
+scripture is from a translation that may carry its own copyright. This card is
+released **CC-BY-NC-4.0** as a conservative default. **Verify the licenses of the
+underlying datasets before any commercial use or redistribution.**
+
+## Acknowledgements
+
+Datasets by bilalfaye and the GalsenAI community; ALMA/DLIR African Language
+Materials Archive; wolofresources.org; Biblia Mundi. Built with Unsloth.
diff --git a/chat_template.jinja b/chat_template.jinja
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+++ 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 %}
diff --git a/config.json b/config.json
new file mode 100644
index 0000000..4dcbf72
--- /dev/null
+++ b/config.json
@@ -0,0 +1,62 @@
+{
+    "architectures": [
+        "Qwen2ForCausalLM"
+    ],
+    "attention_dropout": 0.0,
+    "bos_token_id": null,
+    "torch_dtype": "bfloat16",
+    "eos_token_id": 151645,
+    "hidden_act": "silu",
+    "hidden_size": 1536,
+    "initializer_range": 0.02,
+    "intermediate_size": 8960,
+    "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"
+    ],
+    "max_position_embeddings": 32768,
+    "max_window_layers": 21,
+    "model_type": "qwen2",
+    "num_attention_heads": 12,
+    "num_hidden_layers": 28,
+    "num_key_value_heads": 2,
+    "pad_token_id": 151665,
+    "rms_norm_eps": 1e-06,
+    "rope_parameters": {
+        "rope_theta": 1000000.0,
+        "rope_type": "default"
+    },
+    "sliding_window": null,
+    "tie_word_embeddings": true,
+    "unsloth_fixed": true,
+    "unsloth_version": "2026.6.1",
+    "use_cache": false,
+    "use_sliding_window": false,
+    "vocab_size": 151936
+}
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diff --git a/generation_config.json b/generation_config.json
new file mode 100644
index 0000000..5f32a68
--- /dev/null
+++ b/generation_config.json
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+{
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "max_length": 32768,
+  "pad_token_id": 151665,
+  "repetition_penalty": 1.1,
+  "temperature": 0.7,
+  "top_k": 20,
+  "top_p": 0.8,
+  "transformers_version": "5.5.0"
+}
diff --git a/model.safetensors b/model.safetensors
new file mode 100644
index 0000000..fda7456
--- /dev/null
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+oid sha256:6e7e2ca081398f77d0bd809fc7599ba45f95abaa51578a90f750c984ada51bc1
+size 3087467144
diff --git a/tokenizer.json b/tokenizer.json
new file mode 100644
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+oid sha256:bd5948af71b4f56cf697f7580814c7ce8b80595ef985544efcacf716126a2e31
+size 11422356
diff --git a/tokenizer_config.json b/tokenizer_config.json
new file mode 100644
index 0000000..5e40bb8
--- /dev/null
+++ b/tokenizer_config.json
@@ -0,0 +1,202 @@
+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "is_local": false,
+  "model_max_length": 32768,
+  "pad_token": "<|PAD_TOKEN|>",
+  "padding_side": "left",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null,
+  "added_tokens_decoder": {
+    "151643": {
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+    }
+  },
+  "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- messages[0]['content'] }}\n    {%- else %}\n        {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n    {%- endif %}\n    {{- \"\\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>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\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\" }}\n{%- else %}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n    {%- else %}\n        {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {{- '<|im_start|>' + message.role }}\n        {%- if message.content %}\n            {{- '\\n' + message.content }}\n        {%- endif %}\n        {%- for tool_call in message.tool_calls %}\n            {%- if tool_call.function is defined %}\n                {%- set tool_call = tool_call.function %}\n            {%- endif %}\n            {{- '\\n<tool_call>\\n{\"name\": \"' }}\n            {{- tool_call.name }}\n            {{- '\", \"arguments\": ' }}\n            {{- tool_call.arguments | tojson }}\n            {{- '}\\n</tool_call>' }}\n        {%- endfor %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n"
+}
\ No newline at end of file