Upload folder using huggingface_hub
#1
by
prince-canuma
- opened
- README.md +38 -0
- config.json +36 -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 +934 -0
- special_tokens_map.json +41 -0
- tokenizer.json +0 -0
- tokenizer_config.json +0 -0
README.md
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---
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base_model: tiiuae/Falcon3-10B-Instruct
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library_name: transformers
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license: other
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license_name: falcon-llm-license
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license_link: https://falconllm.tii.ae/falcon-terms-and-conditions.html
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tags:
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- falcon3
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- mlx
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---
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# mlx-community/Falcon3-10B-Instruct-8bit
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The Model [mlx-community/Falcon3-10B-Instruct-8bit](https://huggingface.co/mlx-community/Falcon3-10B-Instruct-8bit) was
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converted to MLX format from [tiiuae/Falcon3-10B-Instruct](https://huggingface.co/tiiuae/Falcon3-10B-Instruct)
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using mlx-lm version **0.20.4**.
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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("mlx-community/Falcon3-10B-Instruct-8bit")
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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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"attention_dropout": 0.0,
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"bos_token_id": 11,
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"eos_token_id": 11,
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"head_dim": 256,
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"hidden_act": "silu",
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"hidden_size": 3072,
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"intermediate_size": 23040,
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"max_position_embeddings": 32768,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 12,
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"num_hidden_layers": 40,
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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": 8
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},
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"quantization_config": {
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"group_size": 64,
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"bits": 8
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},
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta": 1000042,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.46.1",
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"use_cache": true,
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"vocab_size": 131072
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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 sha256:29f1ba094984734b0b71c4938a00196d0ded0e856810d0a0d0c979a371a14321
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size 5324626291
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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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oid sha256:17aac2c3971a844b0440c487656dcfc418f700386e7cfe8bd3986f5f2bed8f46
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size 5197650037
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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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oid sha256:4687fc126d73117fbb1f7c6f2c4184a41696f51e3a749c40a59baf1526dd085c
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size 427819308
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model.safetensors.index.json
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912 |
+
"model.layers.9.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
913 |
+
"model.layers.9.mlp.gate_proj.biases": "model-00001-of-00003.safetensors",
|
914 |
+
"model.layers.9.mlp.gate_proj.scales": "model-00001-of-00003.safetensors",
|
915 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
916 |
+
"model.layers.9.mlp.up_proj.biases": "model-00001-of-00003.safetensors",
|
917 |
+
"model.layers.9.mlp.up_proj.scales": "model-00001-of-00003.safetensors",
|
918 |
+
"model.layers.9.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
919 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
920 |
+
"model.layers.9.self_attn.k_proj.biases": "model-00001-of-00003.safetensors",
|
921 |
+
"model.layers.9.self_attn.k_proj.scales": "model-00001-of-00003.safetensors",
|
922 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
923 |
+
"model.layers.9.self_attn.o_proj.biases": "model-00001-of-00003.safetensors",
|
924 |
+
"model.layers.9.self_attn.o_proj.scales": "model-00001-of-00003.safetensors",
|
925 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
926 |
+
"model.layers.9.self_attn.q_proj.biases": "model-00001-of-00003.safetensors",
|
927 |
+
"model.layers.9.self_attn.q_proj.scales": "model-00001-of-00003.safetensors",
|
928 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
929 |
+
"model.layers.9.self_attn.v_proj.biases": "model-00001-of-00003.safetensors",
|
930 |
+
"model.layers.9.self_attn.v_proj.scales": "model-00001-of-00003.safetensors",
|
931 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
932 |
+
"model.norm.weight": "model-00002-of-00003.safetensors"
|
933 |
+
}
|
934 |
+
}
|
special_tokens_map.json
ADDED
@@ -0,0 +1,41 @@
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|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
">>TITLE<<",
|
4 |
+
">>ABSTRACT<<",
|
5 |
+
">>INTRODUCTION<<",
|
6 |
+
">>SUMMARY<<",
|
7 |
+
">>COMMENT<<",
|
8 |
+
">>ANSWER<<",
|
9 |
+
">>QUESTION<<",
|
10 |
+
">>DOMAIN<<",
|
11 |
+
">>EMAIL_ADDRESS<<",
|
12 |
+
">>IP_ADDRESS<<",
|
13 |
+
"<|startoftext|>",
|
14 |
+
">>IP_ADDRESS_0<<",
|
15 |
+
">>IP_ADDRESS_1<<",
|
16 |
+
">>IP_ADDRESS_2<<",
|
17 |
+
">>IP_ADDRESS_3<<",
|
18 |
+
">>IP_ADDRESS_4<<",
|
19 |
+
">>IP_ADDRESS_5<<",
|
20 |
+
">>IP_ADDRESS_6<<",
|
21 |
+
">>IP_ADDRESS_7<<",
|
22 |
+
">>IP_ADDRESS_8<<",
|
23 |
+
">>IP_ADDRESS_9<<",
|
24 |
+
">>PASSWORD<<",
|
25 |
+
">>KEY<<"
|
26 |
+
],
|
27 |
+
"eos_token": {
|
28 |
+
"content": "<|endoftext|>",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false
|
33 |
+
},
|
34 |
+
"pad_token": {
|
35 |
+
"content": "<|pad|>",
|
36 |
+
"lstrip": false,
|
37 |
+
"normalized": false,
|
38 |
+
"rstrip": false,
|
39 |
+
"single_word": false
|
40 |
+
}
|
41 |
+
}
|
tokenizer.json
ADDED
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tokenizer_config.json
ADDED
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