N8Programs
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Browse files- README.md +26 -0
- added_tokens.json +4 -0
- config.json +85 -0
- model-00001-of-00015.safetensors +3 -0
- model-00002-of-00015.safetensors +3 -0
- model-00003-of-00015.safetensors +3 -0
- model-00004-of-00015.safetensors +3 -0
- model-00005-of-00015.safetensors +3 -0
- model-00006-of-00015.safetensors +3 -0
- model-00007-of-00015.safetensors +3 -0
- model-00008-of-00015.safetensors +3 -0
- model-00009-of-00015.safetensors +3 -0
- model-00010-of-00015.safetensors +3 -0
- model-00011-of-00015.safetensors +3 -0
- model-00012-of-00015.safetensors +3 -0
- model-00013-of-00015.safetensors +3 -0
- model-00014-of-00015.safetensors +3 -0
- model-00015-of-00015.safetensors +3 -0
- model.safetensors.index.json +0 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +66 -0
README.md
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---
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language:
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- en
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license: llama2
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tags:
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- mlx
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datasets:
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- ehartford/dolphin
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- jondurbin/airoboros-2.2.1
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---
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# mlx-community/dolphin-2.2-70b-8bit
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This model was converted to MLX format from [`cognitivecomputations/dolphin-2.2-70b`]() using mlx-lm version **0.7.0**.
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Refer to the [original model card](https://huggingface.co/cognitivecomputations/dolphin-2.2-70b) for more details on the model.
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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/dolphin-2.2-70b-8bit")
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response = generate(model, tokenizer, prompt="hello", verbose=True)
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```
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added_tokens.json
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{
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"<|im_end|>": 32000,
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"<|im_start|>": 32001
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}
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config.json
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{
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"add_cross_attention": false,
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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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"bad_words_ids": null,
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"begin_suppress_tokens": null,
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"chunk_size_feed_forward": 0,
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"cross_attention_hidden_size": null,
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"decoder_start_token_id": null,
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"diversity_penalty": 0.0,
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"do_sample": false,
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"early_stopping": false,
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"hidden_act": "silu",
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"hidden_size": 8192,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1"
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},
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"initializer_range": 0.02,
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"intermediate_size": 28672,
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"is_decoder": false,
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"is_encoder_decoder": false,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1
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},
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"length_penalty": 1.0,
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"max_length": 20,
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"max_position_embeddings": 4096,
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"min_length": 0,
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"model_type": "llama",
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"no_repeat_ngram_size": 0,
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"num_attention_heads": 64,
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"num_beam_groups": 1,
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"num_beams": 1,
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"num_hidden_layers": 80,
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"num_key_value_heads": 8,
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"num_return_sequences": 1,
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"output_attentions": false,
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"output_hidden_states": false,
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"output_scores": false,
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"pad_token_id": 0,
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"prefix": null,
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"pruned_heads": {},
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"quantization": {
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"group_size": 32,
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"bits": 8
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},
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"remove_invalid_values": false,
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"repetition_penalty": 1.0,
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"return_dict": true,
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"return_dict_in_generate": false,
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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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"sep_token_id": null,
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"suppress_tokens": null,
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"task_specific_params": null,
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"temperature": 1.0,
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"tf_legacy_loss": false,
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"tie_encoder_decoder": false,
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"tie_word_embeddings": false,
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"tokenizer_class": null,
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"top_k": 50,
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"top_p": 1.0,
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"torch_dtype": "float16",
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"torchscript": false,
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"transformers_version": "4.39.1",
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"typical_p": 1.0,
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"use_bfloat16": false,
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"use_cache": true,
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"vocab_size": 32002
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}
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model-00001-of-00015.safetensors
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model.safetensors.index.json
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special_tokens_map.json
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},
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}
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tokenizer.json
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tokenizer.model
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tokenizer_config.json
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},
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},
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},
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"32001": {
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"content": "<|im_start|>",
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"lstrip": false,
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}
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},
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"bos_token": "<s>",
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48 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
49 |
+
"clean_up_tokenization_spaces": false,
|
50 |
+
"eos_token": "<|im_end|>",
|
51 |
+
"legacy": false,
|
52 |
+
"max_length": 2048,
|
53 |
+
"model_max_length": 1000000000000000019884624838656,
|
54 |
+
"pad_token": "</s>",
|
55 |
+
"padding_side": "right",
|
56 |
+
"sp_model_kwargs": {},
|
57 |
+
"spaces_between_special_tokens": false,
|
58 |
+
"stride": 0,
|
59 |
+
"tokenizer_class": "LlamaTokenizer",
|
60 |
+
"truncation_side": "right",
|
61 |
+
"truncation_strategy": "longest_first",
|
62 |
+
"trust_remote_code": false,
|
63 |
+
"unk_token": "<unk>",
|
64 |
+
"use_default_system_prompt": true,
|
65 |
+
"use_fast": true
|
66 |
+
}
|