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README.md

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+---
+license: other
+tags:
+- mlx
+license_name: yi-license
+license_link: LICENSE
+widget:
+- example_title: Yi-34B-Chat
+  text: hi
+  output:
+    text: ' Hello! How can I assist you today?'
+- example_title: Yi-34B
+  text: There's a place where time stands still. A place of breath taking wonder,
+    but also
+  output:
+    text: ' an eerie sense that something is just not right…
+
+      Between the two worlds lies The Forgotten Kingdom - home to creatures long since
+      thought extinct and ancient magic so strong it defies belief! Only here can
+      you find what has been lost for centuries: An Elixir Of Life which will restore
+      youth and vitality if only those who seek its power are brave enough to face
+      up against all manner of dangers lurking in this mysterious land! But beware;
+      some say there may even exist powerful entities beyond our comprehension whose
+      intentions towards humanity remain unclear at best ---- they might want nothing
+      more than destruction itself rather then anything else from their quest after
+      immortality (and maybe someone should tell them about modern medicine)? In any
+      event though – one thing remains true regardless : whether or not success comes
+      easy depends entirely upon how much effort we put into conquering whatever challenges
+      lie ahead along with having faith deep down inside ourselves too ;) So let’s
+      get started now shall We?'
+pipeline_tag: text-generation
+---
+
+# Yi-34B-Chat-hf-4bit-mlx
+This model was converted to MLX format from [`01-ai/Yi-34B-Chat`]().
+Refer to the [original model card](https://huggingface.co/01-ai/Yi-34B-Chat) for more details on the model.
+## Use with mlx
+```bash
+pip install mlx
+git clone https://github.com/ml-explore/mlx-examples.git
+cd mlx-examples/llms/hf_llm
+python generate.py --model mlx-community/Yi-34B-Chat-hf-4bit-mlx --prompt "My name is"
+```

added_tokens.json

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+{
+  "<|endoftext|>": 64001,
+  "<|startoftext|>": 64000
+}

config.json

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+{
+    "vocab_size": 32256,
+    "max_position_embeddings": 16384,
+    "hidden_size": 7168,
+    "intermediate_size": 19200,
+    "num_hidden_layers": 62,
+    "num_attention_heads": 56,
+    "num_key_value_heads": 8,
+    "hidden_act": "silu",
+    "initializer_range": 0.02,
+    "rms_norm_eps": 1e-06,
+    "pretraining_tp": 1,
+    "use_cache": true,
+    "rope_theta": 100000,
+    "rope_scaling": {
+        "factor": 4.0,
+        "type": "linear"
+    },
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "return_dict": true,
+    "output_hidden_states": false,
+    "output_attentions": false,
+    "torchscript": false,
+    "torch_dtype": "bfloat16",
+    "use_bfloat16": false,
+    "tf_legacy_loss": false,
+    "pruned_heads": {},
+    "tie_word_embeddings": false,
+    "is_encoder_decoder": false,
+    "is_decoder": false,
+    "cross_attention_hidden_size": null,
+    "add_cross_attention": false,
+    "tie_encoder_decoder": false,
+    "max_length": 20,
+    "min_length": 0,
+    "do_sample": false,
+    "early_stopping": false,
+    "num_beams": 1,
+    "num_beam_groups": 1,
+    "diversity_penalty": 0.0,
+    "temperature": 1.0,
+    "top_k": 50,
+    "top_p": 1.0,
+    "typical_p": 1.0,
+    "repetition_penalty": 1.0,
+    "length_penalty": 1.0,
+    "no_repeat_ngram_size": 0,
+    "encoder_no_repeat_ngram_size": 0,
+    "bad_words_ids": null,
+    "num_return_sequences": 1,
+    "chunk_size_feed_forward": 0,
+    "output_scores": false,
+    "return_dict_in_generate": false,
+    "forced_bos_token_id": null,
+    "forced_eos_token_id": null,
+    "remove_invalid_values": false,
+    "exponential_decay_length_penalty": null,
+    "suppress_tokens": null,
+    "begin_suppress_tokens": null,
+    "architectures": [
+        "LlamaForCausalLM"
+    ],
+    "finetuning_task": null,
+    "id2label": {
+        "0": "LABEL_0",
+        "1": "LABEL_1"
+    },
+    "label2id": {
+        "LABEL_0": 0,
+        "LABEL_1": 1
+    },
+    "tokenizer_class": null,
+    "prefix": null,
+    "bos_token_id": 32013,
+    "pad_token_id": null,
+    "eos_token_id": 32021,
+    "sep_token_id": null,
+    "decoder_start_token_id": null,
+    "task_specific_params": null,
+    "problem_type": null,
+    "_name_or_path": "./deepseek-ai/deepseek-coder-33b-instruct",
+    "transformers_version": "4.36.2",
+    "model_type": "llama",
+    "quantization": {
+        "group_size": 64,
+        "bits": 4
+    }
+}

special_tokens_map.json

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+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
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+  "eos_token": {
+    "content": "<|EOT|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<｜end▁of▁sentence｜>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.model

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tokenizer_config.json

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+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "32019": {
+      "content": "<|User|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "32020": {
+      "content": "<|Assistant|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
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+    "32021": {
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+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [],
+  "bos_token": "<｜begin▁of▁sentence｜>",
+  "chat_template": "{% if not add_generation_prompt is defined %}\n{% set add_generation_prompt = false %}\n{% endif %}\n{%- set ns = namespace(found=false) -%}\n{%- for message in messages -%}\n    {%- if message['role'] == 'system' -%}\n        {%- set ns.found = true -%}\n    {%- endif -%}\n{%- endfor -%}\n{{bos_token}}{%- if not ns.found -%}\n{{'You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer\\n'}}\n{%- endif %}\n{%- for message in messages %}\n    {%- if message['role'] == 'system' %}\n{{ message['content'] }}\n    {%- else %}\n        {%- if message['role'] == 'user' %}\n{{'### Instruction:\\n' + message['content'] + '\\n'}}\n        {%- else %}\n{{'### Response:\\n' + message['content'] + '\\n<|EOT|>\\n'}}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{% if add_generation_prompt %}\n{{'### Response:'}}\n{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|EOT|>",
+  "legacy": true,
+  "model_max_length": 16384,
+  "pad_token": "<｜end▁of▁sentence｜>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": null,
+  "use_default_system_prompt": true
+}

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