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Model: TilQazyna/llama-kaz-instruct-8B-1
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---
base_model:
- meta-llama/Meta-Llama-3-8B
language:
- kk
license: apache-2.0
tags:
- text-generation-inference
- transformers
- llama
- trl
---
# Uploaded model
- **Developed by:** Til-Qazyna
- **License:** apache-2.0
- **Finetuned from model :** Meta-Llama-3-8B
This model underwent Continuous Pretraining (CPT) on an extensive Kazakh text corpus to optimize LLAMA3 for the Kazakh language. It was subsequently fine-tuned with Kazakh-language instructional data. The model demonstrates strong performance in processing Kazakh text, answering text-based questions, correcting punctuation and grammar, and summarizing text. However, there is still room for improvement in handling open-ended questions.
## Requirements
To install the necessary dependencies, use the following commands:
```bash
!pip install --no-deps "xformers<0.0.27" "trl<0.9.0"
!pip install peft accelerate bitsandbytes triton
```
# Loading in 8bit with transformers
```python
from transformers import AutoTokenizer, AutoModelForCausalLM
model_name = "TilQazyna/llama-kaz-instruct-8B-1"
hf_token = "<ENTER YOUR TOKEN>"
# enable load_in_4bit=True for faster results but slighlty lower accuracy
model = AutoModelForCausalLM.from_pretrained(model_name, load_in_8bit=True, use_auth_token=hf_token)
tokenizer = AutoTokenizer.from_pretrained(model_name, use_auth_token=hf_token)
```
# Running simple inference
```python
from transformers import TextStreamer
inputs = tokenizer("Тапсырма: Келесі мәтіндегі пунктуацияларды және грамматикалық қателерді дұрыста. \n\nМәтін: Жаналыктар леби осиндай \n\nЖауабы:", return_tensors="pt")
text_streamer = TextStreamer(tokenizer)
_ = model.generate(**inputs, streamer = text_streamer, max_new_tokens = 128)
```

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{
"_name_or_path": "models/pretrain-0907",
"architectures": [
"LlamaForCausalLM"
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"hidden_act": "silu",
"hidden_size": 4096,
"initializer_range": 0.02,
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"max_position_embeddings": 8192,
"mlp_bias": false,
"model_type": "llama",
"num_attention_heads": 32,
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"num_key_value_heads": 8,
"pad_token_id": 128255,
"pretraining_tp": 1,
"rms_norm_eps": 1e-05,
"rope_scaling": null,
"rope_theta": 500000.0,
"tie_word_embeddings": false,
"torch_dtype": "bfloat16",
"transformers_version": "4.44.2",
"unsloth_version": "2024.8",
"use_cache": true,
"vocab_size": 128256
}

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"do_sample": true,
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