Quant for 4.0
Browse files- README.md +2 -20
- config.json +25 -0
- generation_config.json +9 -0
- output.safetensors +3 -0
- pytorch_model.bin.index.json +280 -0
- tokenizer.json +0 -0
- tokenizer_config.json +35 -0
README.md
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license_name: deepseek
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license_link: LICENSE
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quantized_by: bartowski
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pipeline_tag: text-generation
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---
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Using <a href="https://github.com/turboderp/exllamav2/releases/tag/master">turboderp's ExLlamaV2 master</a> for quantization.
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Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
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Conversion was done using Evol-Instruct-Code-80k-v1.parquet as calibration dataset.
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Default arguments used except when the bits per weight is above 6.0, at that point the lm_head layer is quantized at 8 bits per weight instead of the default 6.
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Original model: https://huggingface.co/deepseek-ai/deepseek-llm-7b-chat
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<a href="https://huggingface.co/bartowski/deepseek-llm-7b-chat-exl2/tree/5_0">5.0 bits per weight</a>
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<a href="https://huggingface.co/bartowski/deepseek-llm-7b-chat-exl2/tree/6_0">6.0 bits per weight</a>
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<a href="https://huggingface.co/bartowski/deepseek-llm-7b-chat-exl2/tree/8_0">8.0 bits per weight</a>
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## Download instructions
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With git:
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```shell
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git clone --single-branch --branch
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```
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With huggingface hub (credit to TheBloke for instructions):
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pip3 install huggingface-hub
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```
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To download the `main` (only useful if you only care about measurement.json) branch to a folder called `deepseek-llm-7b-chat-exl2`:
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```shell
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mkdir deepseek-llm-7b-chat-exl2
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huggingface-cli download bartowski/deepseek-llm-7b-chat-exl2 --local-dir deepseek-llm-7b-chat-exl2 --local-dir-use-symlinks False
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```
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To download from a different branch, add the `--revision` parameter:
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```shell
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license_name: deepseek
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license_link: LICENSE
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quantized_by: bartowski
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---
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# Exllama v2 Quantizations of deepseek-llm-7b-chat at 4.0 bits per weight
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Using <a href="https://github.com/turboderp/exllamav2/releases/tag/master">turboderp's ExLlamaV2 master</a> for quantization.
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Conversion was done using Evol-Instruct-Code-80k-v1.parquet as calibration dataset.
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Original model: https://huggingface.co/deepseek-ai/deepseek-llm-7b-chat
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## Download instructions
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With git:
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```shell
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git clone --single-branch --branch 4.0 https://huggingface.co/bartowski/deepseek-llm-7b-chat-exl2
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```
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With huggingface hub (credit to TheBloke for instructions):
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pip3 install huggingface-hub
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```
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To download from a different branch, add the `--revision` parameter:
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```shell
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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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"bos_token_id": 100000,
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"eos_token_id": 100001,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 11008,
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"max_position_embeddings": 4096,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 30,
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"num_key_value_heads": 32,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-06,
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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": "4.33.1",
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"use_cache": true,
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"vocab_size": 102400
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 100000,
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"eos_token_id": 100001,
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"do_sample": true,
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"temperature": 0.7,
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"top_p": 0.95,
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"transformers_version": "4.33.1"
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}
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output.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:dd2b2b5ede0c7eece8d8841f78c5c790c3c8b30f56b13d375624a10aadddcb84
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size 4216762144
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pytorch_model.bin.index.json
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+
"model.layers.8.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
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"model.layers.8.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
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"model.layers.8.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
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+
"model.layers.8.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
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265 |
+
"model.layers.8.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
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266 |
+
"model.layers.8.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
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267 |
+
"model.layers.8.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
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+
"model.layers.8.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
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269 |
+
"model.layers.9.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
270 |
+
"model.layers.9.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
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271 |
+
"model.layers.9.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
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272 |
+
"model.layers.9.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
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273 |
+
"model.layers.9.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
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274 |
+
"model.layers.9.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
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275 |
+
"model.layers.9.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
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+
"model.layers.9.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
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+
"model.layers.9.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
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+
"model.norm.weight": "pytorch_model-00002-of-00002.bin"
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}
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}
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tokenizer.json
ADDED
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tokenizer_config.json
ADDED
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{
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"add_bos_token": true,
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"add_eos_token": false,
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"bos_token": {
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"__type": "AddedToken",
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"content": "<|begin▁of▁sentence|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"clean_up_tokenization_spaces": false,
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"eos_token": {
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"__type": "AddedToken",
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"content": "<|end▁of▁sentence|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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+
"legacy": true,
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+
"model_max_length": 4096,
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+
"pad_token": {
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"__type": "AddedToken",
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"content": "<|end▁of▁sentence|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"sp_model_kwargs": {},
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+
"unk_token": null,
|
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+
"tokenizer_class": "LlamaTokenizerFast",
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+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{{ bos_token }}{% for message in messages %}{% if message['role'] == 'user' %}{{ 'User: ' + message['content'] + '\n\n' }}{% elif message['role'] == 'assistant' %}{{ 'Assistant: ' + message['content'] + eos_token }}{% elif message['role'] == 'system' %}{{ message['content'] + '\n\n' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ 'Assistant:' }}{% endif %}"
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+
}
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