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README.md ADDED
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+ ---
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+ base_model:
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+ - bigcode/starcoder2-3b
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+ - TechxGenus/starcoder2-3b-instruct
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+ tags:
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+ - merge
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+ - mergekit
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+ - lazymergekit
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+ - bigcode/starcoder2-3b
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+ - TechxGenus/starcoder2-3b-instruct
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+ ---
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+
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+ # tinyllama-merged
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+
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+ tinyllama-merged is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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+ * [bigcode/starcoder2-3b](https://huggingface.co/bigcode/starcoder2-3b)
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+ * [TechxGenus/starcoder2-3b-instruct](https://huggingface.co/TechxGenus/starcoder2-3b-instruct)
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+
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+ ## 🧩 Configuration
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+
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+ ```yaml
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+ models:
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+ - model : bigcode/starcoder2-3b
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+ parameters:
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+ density: 0.5 # density gradient
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+ weight: 1
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+ - model: TechxGenus/starcoder2-3b-instruct
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+ parameters:
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+ density: 0.5
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+ weight: 1 # weight gradient
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+ tokenizer_source: union
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+ merge_method: ties
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+ base_model: bigcode/starcoder2-3b
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+ parameters:
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+ normalize: true
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+ int8_mask: true
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+ dtype: float16
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+ ```
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+
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+ ## 💻 Usage
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+
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+ ```python
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+ !pip install -qU transformers accelerate
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+
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+ from transformers import AutoTokenizer
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+ import transformers
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+ import torch
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+
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+ model = "choprahetarth/tinyllama-merged"
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+ messages = [{"role": "user", "content": "What is a large language model?"}]
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+
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+ tokenizer = AutoTokenizer.from_pretrained(model)
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+ prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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+ pipeline = transformers.pipeline(
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+ "text-generation",
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+ model=model,
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+ torch_dtype=torch.float16,
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+ device_map="auto",
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+ )
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+
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+ outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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+ print(outputs[0]["generated_text"])
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+ ```
config.json ADDED
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+ {
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+ "_name_or_path": "bigcode/starcoder2-3b",
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+ "architectures": [
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+ "Starcoder2ForCausalLM"
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+ ],
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+ "attention_dropout": 0.1,
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+ "bos_token_id": 0,
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+ "embedding_dropout": 0.1,
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+ "eos_token_id": 0,
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+ "hidden_act": "gelu_pytorch_tanh",
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+ "hidden_size": 3072,
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+ "initializer_range": 0.018042,
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+ "intermediate_size": 12288,
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+ "max_position_embeddings": 16384,
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+ "mlp_type": "default",
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+ "model_type": "starcoder2",
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+ "norm_epsilon": 1e-05,
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+ "norm_type": "layer_norm",
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+ "num_attention_heads": 24,
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+ "num_hidden_layers": 30,
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+ "num_key_value_heads": 2,
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+ "residual_dropout": 0.1,
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+ "rope_theta": 999999.4420358813,
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+ "sliding_window": 4096,
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+ "torch_dtype": "float16",
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+ "transformers_version": "4.44.2",
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+ "use_bias": true,
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+ "use_cache": true,
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+ "vocab_size": 49152
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+ }
mergekit_config.yml ADDED
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+
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+ models:
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+ - model : bigcode/starcoder2-3b
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+ parameters:
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+ density: 0.5 # density gradient
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+ weight: 1
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+ - model: TechxGenus/starcoder2-3b-instruct
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+ parameters:
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+ density: 0.5
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+ weight: 1 # weight gradient
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+ tokenizer_source: union
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+ merge_method: ties
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+ base_model: bigcode/starcoder2-3b
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+ parameters:
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+ normalize: true
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+ int8_mask: true
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+ dtype: float16
merges.txt ADDED
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+ "normalized": false,
280
+ "rstrip": false,
281
+ "single_word": false,
282
+ "special": false
283
+ },
284
+ "35": {
285
+ "content": "<EMAIL>",
286
+ "lstrip": false,
287
+ "normalized": false,
288
+ "rstrip": false,
289
+ "single_word": false,
290
+ "special": false
291
+ },
292
+ "36": {
293
+ "content": "<KEY>",
294
+ "lstrip": false,
295
+ "normalized": false,
296
+ "rstrip": false,
297
+ "single_word": false,
298
+ "special": false
299
+ },
300
+ "37": {
301
+ "content": "<PASSWORD>",
302
+ "lstrip": false,
303
+ "normalized": false,
304
+ "rstrip": false,
305
+ "single_word": false,
306
+ "special": false
307
+ }
308
+ },
309
+ "additional_special_tokens": [
310
+ "<|endoftext|>",
311
+ "<fim_prefix>",
312
+ "<fim_middle>",
313
+ "<fim_suffix>",
314
+ "<fim_pad>",
315
+ "<repo_name>",
316
+ "<file_sep>",
317
+ "<issue_start>",
318
+ "<issue_comment>",
319
+ "<issue_closed>",
320
+ "<jupyter_start>",
321
+ "<jupyter_text>",
322
+ "<jupyter_code>",
323
+ "<jupyter_output>",
324
+ "<jupyter_script>",
325
+ "<empty_output>",
326
+ "<code_to_intermediate>",
327
+ "<intermediate_to_code>",
328
+ "<pr>",
329
+ "<pr_status>",
330
+ "<pr_is_merged>",
331
+ "<pr_base>",
332
+ "<pr_file>",
333
+ "<pr_base_code>",
334
+ "<pr_diff>",
335
+ "<pr_diff_hunk>",
336
+ "<pr_comment>",
337
+ "<pr_event_id>",
338
+ "<pr_review>",
339
+ "<pr_review_state>",
340
+ "<pr_review_comment>",
341
+ "<pr_in_reply_to_review_id>",
342
+ "<pr_in_reply_to_comment_id>",
343
+ "<pr_diff_hunk_comment_line>",
344
+ "<NAME>",
345
+ "<EMAIL>",
346
+ "<KEY>",
347
+ "<PASSWORD>"
348
+ ],
349
+ "bos_token": "<|endoftext|>",
350
+ "clean_up_tokenization_spaces": true,
351
+ "eos_token": "<|endoftext|>",
352
+ "model_max_length": 1000000000000000019884624838656,
353
+ "tokenizer_class": "GPT2Tokenizer",
354
+ "unk_token": "<|endoftext|>",
355
+ "vocab_size": 49152
356
+ }
vocab.json ADDED
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