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Browse files- README.md +84 -0
- config.json +41 -0
- generation_config.json +8 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +0 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +0 -0
README.md
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---
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base_model:
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- mistralai/Mistral-7B-v0.3
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datasets:
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- wikimedia/wikipedia
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- FreedomIntelligence/alpaca-gpt4-arabic
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language:
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- ar
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- en
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license: apache-2.0
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tags:
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- text-generation-inference
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- transformers
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- unsloth
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- mistral
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- trl
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---
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Experimenting with pre-training Arabic language + finetuning on instructions using the quantized model `mistralai/Mistral-7B-v0.3` from `unsloth`. First time trying pre-training, expect issues and low quality outputs. The repo contains the merged, quantized model and GGUF format.
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### Example usage
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#### llama-cpp-python
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```python
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from llama_cpp import Llama
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inference_prompt = """فيما يلي تعليمات تصف مهمة. اكتب استجابة تكمل الطلب بشكل مناسب.
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### تعليمات:
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{}
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### إجابة:
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"""
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llm = Llama.from_pretrained(
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repo_id="nazimali/mistral-7b-v0.3-instruct-arabic",
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filename="gguf/Q4_K_M.gguf",
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)
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llm.create_chat_completion(
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messages = [
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{
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"role": "user",
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"content": inference_prompt.format("السلام عليكم، هيا نموء")
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}
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]
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)
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```
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#### llama.cpp
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```shell
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./llama-cli \
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--hf-repo "nazimali/mistral-7b-v0.3-instruct-arabic" \
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--hf-file gguf/Q4_K_M.gguf \
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-p "السلام عليكم، هيا نموء" \
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--conversation
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```
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### Training
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#### Pre-training data:
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- `wikimedia/wikipedia`
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- `20231101.ar`
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- Used 6,096 rows, 0.05% of the total data
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#### Finetuning data:
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- `FreedomIntelligence/alpaca-gpt4-arabic`
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- Used 49,969 rows, 100% of all the data
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#### Finetuning instruction format:
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```python
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finetune_prompt = """فيما يلي تعليمات تصف مهمة. اكتب استجابة تكمل الطلب بشكل مناسب.
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### تعليمات:
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{}
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### إجابة:
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"""
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```
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config.json
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{
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"_name_or_path": "unsloth/mistral-7b-v0.3-bnb-4bit",
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"architectures": [
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"MistralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 32768,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"pad_token_id": 770,
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"quantization_config": {
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"bnb_4bit_compute_dtype": "bfloat16",
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"bnb_4bit_quant_storage": "uint8",
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"bnb_4bit_quant_type": "nf4",
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"bnb_4bit_use_double_quant": true,
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"llm_int8_enable_fp32_cpu_offload": false,
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"llm_int8_has_fp16_weight": false,
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"llm_int8_skip_modules": null,
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"llm_int8_threshold": 6.0,
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"load_in_4bit": true,
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"load_in_8bit": false
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},
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"rms_norm_eps": 1e-05,
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"rope_theta": 1000000.0,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.45.0",
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"unsloth_version": "2024.9",
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"use_cache": true,
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"vocab_size": 32768
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"max_length": 32768,
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"pad_token_id": 770,
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"transformers_version": "4.45.0"
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}
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model-00001-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ef3c5d6ad99e755a61f5e7b651e2d28baa5a441be87bd1774dc2171abe4b2250
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size 1978231989
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model-00002-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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model-00003-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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size 268435584
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model.safetensors.index.json
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "</s>",
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
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size 587404
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tokenizer_config.json
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