Upload folder using huggingface_hub (#1)
Browse files- c94584621e18a32b8ea39436b24263f892638da1a879e322bb28c06805d875ff (5fdefbcb615fd546ef13a3f03943563616603757)
- README.md +47 -0
- config.json +34 -0
- model.safetensors +3 -0
- model.safetensors.index.json +520 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +43 -0
README.md
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---
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base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
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datasets:
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- cerebras/SlimPajama-627B
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- bigcode/starcoderdata
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- HuggingFaceH4/ultrachat_200k
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- HuggingFaceH4/ultrafeedback_binarized
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language:
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- en
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license: apache-2.0
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tags:
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- mlx
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widget:
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- example_title: Fibonacci (Python)
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messages:
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- role: system
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content: You are a chatbot who can help code!
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- role: user
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content: Write me a function to calculate the first 10 digits of the fibonacci
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sequence in Python and print it out to the CLI.
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---
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# pcuenq/TinyLlama-1.1B-Chat-v1.0-mlx
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The Model [pcuenq/TinyLlama-1.1B-Chat-v1.0-mlx](https://huggingface.co/pcuenq/TinyLlama-1.1B-Chat-v1.0-mlx) was converted to MLX format from [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) using mlx-lm version **0.19.1**.
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## Use with mlx
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```bash
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pip install mlx-lm
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```
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```python
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from mlx_lm import load, generate
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model, tokenizer = load("pcuenq/TinyLlama-1.1B-Chat-v1.0-mlx")
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prompt="hello"
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if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
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messages = [{"role": "user", "content": prompt}]
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prompt = tokenizer.apply_chat_template(
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messages, tokenize=False, add_generation_prompt=True
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)
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response = generate(model, tokenizer, prompt=prompt, verbose=True)
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```
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config.json
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{
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 2048,
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"initializer_range": 0.02,
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"intermediate_size": 5632,
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"max_position_embeddings": 2048,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 22,
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"num_key_value_heads": 4,
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"pretraining_tp": 1,
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"quantization": {
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"group_size": 64,
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"bits": 4
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},
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"quantization_config": {
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"group_size": 64,
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"bits": 4
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},
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.35.0",
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"use_cache": true,
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"vocab_size": 32000
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:fb773e8626f124e0841a1135f6afe008044d9c97805aaba52cc2ecdb17c46513
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size 618966544
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model.safetensors.index.json
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"model.layers.9.self_attn.o_proj.scales": "model.safetensors",
|
511 |
+
"model.layers.9.self_attn.o_proj.weight": "model.safetensors",
|
512 |
+
"model.layers.9.self_attn.q_proj.biases": "model.safetensors",
|
513 |
+
"model.layers.9.self_attn.q_proj.scales": "model.safetensors",
|
514 |
+
"model.layers.9.self_attn.q_proj.weight": "model.safetensors",
|
515 |
+
"model.layers.9.self_attn.v_proj.biases": "model.safetensors",
|
516 |
+
"model.layers.9.self_attn.v_proj.scales": "model.safetensors",
|
517 |
+
"model.layers.9.self_attn.v_proj.weight": "model.safetensors",
|
518 |
+
"model.norm.weight": "model.safetensors"
|
519 |
+
}
|
520 |
+
}
|
special_tokens_map.json
ADDED
@@ -0,0 +1,30 @@
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|
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|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "</s>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": {
|
17 |
+
"content": "</s>",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": false,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
},
|
23 |
+
"unk_token": {
|
24 |
+
"content": "<unk>",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": false,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
}
|
30 |
+
}
|
tokenizer.json
ADDED
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|
|
tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
3 |
+
size 499723
|
tokenizer_config.json
ADDED
@@ -0,0 +1,43 @@
|
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|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"add_prefix_space": null,
|
5 |
+
"added_tokens_decoder": {
|
6 |
+
"0": {
|
7 |
+
"content": "<unk>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": false,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false,
|
12 |
+
"special": true
|
13 |
+
},
|
14 |
+
"1": {
|
15 |
+
"content": "<s>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": false,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false,
|
20 |
+
"special": true
|
21 |
+
},
|
22 |
+
"2": {
|
23 |
+
"content": "</s>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": false,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false,
|
28 |
+
"special": true
|
29 |
+
}
|
30 |
+
},
|
31 |
+
"bos_token": "<s>",
|
32 |
+
"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
|
33 |
+
"clean_up_tokenization_spaces": false,
|
34 |
+
"eos_token": "</s>",
|
35 |
+
"legacy": false,
|
36 |
+
"model_max_length": 2048,
|
37 |
+
"pad_token": "</s>",
|
38 |
+
"padding_side": "right",
|
39 |
+
"sp_model_kwargs": {},
|
40 |
+
"tokenizer_class": "LlamaTokenizer",
|
41 |
+
"unk_token": "<unk>",
|
42 |
+
"use_default_system_prompt": false
|
43 |
+
}
|