Text Generation
PEFT
Safetensors
Transformers
Arabic
llama
lora
sft
trl
conversational
text-generation-inference
Instructions to use Hishambarakat/Bahraini_Dialect_LLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Hishambarakat/Bahraini_Dialect_LLM with PEFT:
Task type is invalid.
- Transformers
How to use Hishambarakat/Bahraini_Dialect_LLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Hishambarakat/Bahraini_Dialect_LLM") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Hishambarakat/Bahraini_Dialect_LLM") model = AutoModelForCausalLM.from_pretrained("Hishambarakat/Bahraini_Dialect_LLM", device_map="auto") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Hishambarakat/Bahraini_Dialect_LLM with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Hishambarakat/Bahraini_Dialect_LLM" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Hishambarakat/Bahraini_Dialect_LLM", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Hishambarakat/Bahraini_Dialect_LLM
- SGLang
How to use Hishambarakat/Bahraini_Dialect_LLM with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "Hishambarakat/Bahraini_Dialect_LLM" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Hishambarakat/Bahraini_Dialect_LLM", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "Hishambarakat/Bahraini_Dialect_LLM" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Hishambarakat/Bahraini_Dialect_LLM", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use Hishambarakat/Bahraini_Dialect_LLM with Docker Model Runner:
docker model run hf.co/Hishambarakat/Bahraini_Dialect_LLM
Remove folder: ALLaM-7B-Instruct-preview-Bahraini_Dialect
Browse files- ALLaM-7B-Instruct-preview-Bahraini_Dialect/README.md +0 -209
- ALLaM-7B-Instruct-preview-Bahraini_Dialect/adapter_config.json +0 -46
- ALLaM-7B-Instruct-preview-Bahraini_Dialect/adapter_model.safetensors +0 -3
- ALLaM-7B-Instruct-preview-Bahraini_Dialect/chat_template.jinja +0 -1
- ALLaM-7B-Instruct-preview-Bahraini_Dialect/config.json +0 -30
- ALLaM-7B-Instruct-preview-Bahraini_Dialect/generation_config.json +0 -6
- ALLaM-7B-Instruct-preview-Bahraini_Dialect/model-00001-of-00003.safetensors +0 -3
- ALLaM-7B-Instruct-preview-Bahraini_Dialect/model-00002-of-00003.safetensors +0 -3
- ALLaM-7B-Instruct-preview-Bahraini_Dialect/model-00003-of-00003.safetensors +0 -3
- ALLaM-7B-Instruct-preview-Bahraini_Dialect/model.safetensors.index.json +0 -299
- ALLaM-7B-Instruct-preview-Bahraini_Dialect/special_tokens_map.json +0 -23
- ALLaM-7B-Instruct-preview-Bahraini_Dialect/tokenizer.json +0 -0
- ALLaM-7B-Instruct-preview-Bahraini_Dialect/tokenizer.model +0 -3
- ALLaM-7B-Instruct-preview-Bahraini_Dialect/tokenizer_config.json +0 -204
ALLaM-7B-Instruct-preview-Bahraini_Dialect/README.md
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base_model: humain-ai/ALLaM-7B-Instruct-preview
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library_name: peft
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pipeline_tag: text-generation
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tags:
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# Model Card for Model ID
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## Model Details
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### Model Description
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## Uses
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## Bias, Risks, and Limitations
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### Recommendations
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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## Training Details
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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### Framework versions
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ALLaM-7B-Instruct-preview-Bahraini_Dialect/adapter_config.json
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{
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"alora_invocation_tokens": null,
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"alpha_pattern": {},
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"arrow_config": null,
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"auto_mapping": null,
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"base_model_name_or_path": "humain-ai/ALLaM-7B-Instruct-preview",
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"bias": "none",
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"corda_config": null,
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"ensure_weight_tying": false,
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"eva_config": null,
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"exclude_modules": null,
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_bias": false,
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"lora_dropout": 0.05,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"peft_version": "0.18.1",
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"qalora_group_size": 16,
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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],
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"target_parameters": null,
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|
ALLaM-7B-Instruct-preview-Bahraini_Dialect/special_tokens_map.json
DELETED
|
@@ -1,23 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"bos_token": {
|
| 3 |
-
"content": "<s>",
|
| 4 |
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| 5 |
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| 6 |
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|
| 8 |
-
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| 9 |
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|
| 10 |
-
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|
| 11 |
-
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|
| 12 |
-
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|
| 13 |
-
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|
| 14 |
-
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|
| 15 |
-
},
|
| 16 |
-
"unk_token": {
|
| 17 |
-
"content": "<unk>",
|
| 18 |
-
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|
| 19 |
-
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|
| 20 |
-
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|
| 21 |
-
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|
| 22 |
-
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|
| 23 |
-
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|
ALLaM-7B-Instruct-preview-Bahraini_Dialect/tokenizer.json
DELETED
|
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|
|
ALLaM-7B-Instruct-preview-Bahraini_Dialect/tokenizer.model
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
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| 2 |
-
oid sha256:feff3deb3537c4a47b77585053ad2aa00484da7907b188e0111cbed1f4592e67
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| 3 |
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size 1228714
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ALLaM-7B-Instruct-preview-Bahraini_Dialect/tokenizer_config.json
DELETED
|
@@ -1,204 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"add_bos_token": false,
|
| 3 |
-
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|
| 4 |
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|
| 5 |
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| 6 |
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| 8 |
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| 12 |
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|
| 13 |
-
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| 14 |
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|
| 15 |
-
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|
| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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|
| 21 |
-
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| 22 |
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| 23 |
-
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| 24 |
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| 25 |
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| 26 |
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| 27 |
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|
| 28 |
-
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|
| 29 |
-
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| 30 |
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|
| 31 |
-
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| 32 |
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| 33 |
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| 37 |
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| 38 |
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| 39 |
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| 40 |
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| 46 |
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|
| 47 |
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| 51 |
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| 53 |
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| 54 |
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| 55 |
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| 56 |
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| 57 |
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| 60 |
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|
| 61 |
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| 62 |
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|
| 63 |
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|
| 64 |
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| 65 |
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|
| 67 |
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| 70 |
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| 71 |
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| 76 |
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|
| 77 |
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| 79 |
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| 80 |
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| 81 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
-
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|
| 86 |
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|
| 87 |
-
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|
| 88 |
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|
| 89 |
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|
| 90 |
-
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|
| 91 |
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|
| 92 |
-
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|
| 93 |
-
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|
| 94 |
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|
| 95 |
-
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
-
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| 102 |
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| 103 |
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|
| 104 |
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|
| 105 |
-
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|
| 106 |
-
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|
| 107 |
-
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|
| 108 |
-
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|
| 109 |
-
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| 110 |
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|
| 111 |
-
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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| 116 |
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|
| 117 |
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|
| 118 |
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| 119 |
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| 120 |
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|
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|
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| 125 |
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|
| 127 |
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|
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| 133 |
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|
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| 143 |
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| 144 |
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|
| 149 |
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| 151 |
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| 152 |
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|
| 156 |
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| 157 |
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| 158 |
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|
| 159 |
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| 160 |
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|
| 165 |
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| 167 |
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| 168 |
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| 173 |
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| 174 |
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| 175 |
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| 176 |
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| 181 |
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| 188 |
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| 189 |
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| 190 |
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| 191 |
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| 192 |
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