prince-canuma
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Browse files- README.md +22 -4
- config.json +1 -55
- model-00001-of-00008.safetensors +2 -2
- model-00002-of-00008.safetensors +2 -2
- model-00003-of-00008.safetensors +2 -2
- model-00004-of-00008.safetensors +2 -2
- model-00005-of-00008.safetensors +2 -2
- model-00006-of-00008.safetensors +2 -2
- model-00007-of-00008.safetensors +2 -2
- model-00008-of-00008.safetensors +2 -2
- model.safetensors.index.json +0 -0
- special_tokens_map.json +1 -1
- tokenizer.json +1 -0
- tokenizer_config.json +2 -2
README.md
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@@ -176,13 +176,31 @@ extra_gated_fields:
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extra_gated_description: The information you provide will be collected, stored, processed
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and shared in accordance with the [Meta Privacy Policy](https://www.facebook.com/privacy/policy/).
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extra_gated_button_content: Submit
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---
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# mlx-community/Meta-Llama-3-70B-Instruct-4bit
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This model was converted to MLX format from [`meta-llama/Meta-Llama-3-70B-Instruct`]() using mlx-lm version **0.
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Model added by [Prince Canuma](https://twitter.com/Prince_Canuma).
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Refer to the [original model card](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct) for more details on the model.
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## Use with mlx
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extra_gated_description: The information you provide will be collected, stored, processed
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and shared in accordance with the [Meta Privacy Policy](https://www.facebook.com/privacy/policy/).
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extra_gated_button_content: Submit
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widget:
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- example_title: Winter holidays
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messages:
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- role: system
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content: You are a helpful and honest assistant. Please, respond concisely and
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truthfully.
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- role: user
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content: Can you recommend a good destination for Winter holidays?
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- example_title: Programming assistant
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messages:
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- role: system
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content: You are a helpful and honest code and programming assistant. Please,
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respond concisely and truthfully.
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- role: user
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content: Write a function that computes the nth fibonacci number.
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inference:
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parameters:
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max_new_tokens: 300
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stop:
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- <|end_of_text|>
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- <|eot_id|>
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---
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# mlx-community/Meta-Llama-3-70B-Instruct-4bit
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This model was converted to MLX format from [`meta-llama/Meta-Llama-3-70B-Instruct`]() using mlx-lm version **0.10.0**.
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Refer to the [original model card](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct) for more details on the model.
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## Use with mlx
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config.json
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@@ -1,85 +1,31 @@
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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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"bos_token_id": 128000,
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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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"do_sample": false,
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"early_stopping": false,
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"encoder_no_repeat_ngram_size": 0,
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"eos_token_id": 128001,
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"finetuning_task": null,
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"forced_bos_token_id": null,
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"forced_eos_token_id": null,
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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": 8192,
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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": null,
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"prefix": null,
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"pretraining_tp": 1,
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"problem_type": null,
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"pruned_heads": {},
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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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"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": 500000.0,
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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": "bfloat16",
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"
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"transformers_version": "4.40.0",
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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": 128256
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}
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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": 128000,
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"eos_token_id": 128001,
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"hidden_act": "silu",
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"hidden_size": 8192,
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"initializer_range": 0.02,
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"intermediate_size": 28672,
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"max_position_embeddings": 8192,
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"model_type": "llama",
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"num_attention_heads": 64,
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"num_hidden_layers": 80,
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"num_key_value_heads": 8,
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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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"rms_norm_eps": 1e-05,
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"rope_theta": 500000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.40.0.dev0",
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"use_cache": true,
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"vocab_size": 128256
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}
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model.safetensors.index.json
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The diff for this file is too large to render.
See raw diff
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special_tokens_map.json
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"single_word": false
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},
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tokenizer.json
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"end_of_word_suffix": null,
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"vocab": {
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tokenizer_config.json
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}
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},
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"bos_token": "<|begin_of_text|>",
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-
"chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}",
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"clean_up_tokenization_spaces": true,
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-
"eos_token": "<|
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"model_input_names": [
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"input_ids",
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"attention_mask"
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}
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},
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"bos_token": "<|begin_of_text|>",
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+
"chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
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"clean_up_tokenization_spaces": true,
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"eos_token": "<|end_of_text|>",
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"model_input_names": [
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"attention_mask"
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