binhquoc commited on
Commit
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Upload model

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Files changed (3) hide show
  1. README.md +9 -8
  2. adapter_config.json +3 -3
  3. adapter_model.bin +1 -1
README.md CHANGED
@@ -1,6 +1,6 @@
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  ---
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  library_name: peft
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- base_model: daryl149/llama-2-7b-chat-hf
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  ---
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  # Model Card for Model ID
@@ -18,6 +18,7 @@ base_model: daryl149/llama-2-7b-chat-hf
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  - **Developed by:** [More Information Needed]
 
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  - **Shared by [optional]:** [More Information Needed]
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  - **Model type:** [More Information Needed]
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  - **Language(s) (NLP):** [More Information Needed]
@@ -76,7 +77,7 @@ Use the code below to get started with the model.
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  ### Training Data
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- <!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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  [More Information Needed]
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@@ -107,7 +108,7 @@ Use the code below to get started with the model.
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  #### Testing Data
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- <!-- This should link to a Data Card if possible. -->
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  [More Information Needed]
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@@ -203,15 +204,15 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
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  The following `bitsandbytes` quantization config was used during training:
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  - quant_method: bitsandbytes
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- - load_in_8bit: False
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- - load_in_4bit: True
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  - llm_int8_threshold: 6.0
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  - llm_int8_skip_modules: None
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  - llm_int8_enable_fp32_cpu_offload: False
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  - llm_int8_has_fp16_weight: False
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- - bnb_4bit_quant_type: nf4
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- - bnb_4bit_use_double_quant: True
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- - bnb_4bit_compute_dtype: bfloat16
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  ### Framework versions
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  ---
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  library_name: peft
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+ base_model: WizardLM/WizardMath-7B-V1.0
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  ---
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  # Model Card for Model ID
 
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  - **Developed by:** [More Information Needed]
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+ - **Funded by [optional]:** [More Information Needed]
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  - **Shared by [optional]:** [More Information Needed]
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  - **Model type:** [More Information Needed]
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  - **Language(s) (NLP):** [More Information Needed]
 
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  ### Training Data
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+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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  [More Information Needed]
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  #### Testing Data
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+ <!-- This should link to a Dataset Card if possible. -->
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  [More Information Needed]
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  The following `bitsandbytes` quantization config was used during training:
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  - quant_method: bitsandbytes
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+ - load_in_8bit: True
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+ - load_in_4bit: False
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  - llm_int8_threshold: 6.0
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  - llm_int8_skip_modules: None
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  - llm_int8_enable_fp32_cpu_offload: False
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  - llm_int8_has_fp16_weight: False
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+ - bnb_4bit_quant_type: fp4
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+ - bnb_4bit_use_double_quant: False
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+ - bnb_4bit_compute_dtype: float32
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  ### Framework versions
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adapter_config.json CHANGED
@@ -1,7 +1,7 @@
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  {
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  "alpha_pattern": {},
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  "auto_mapping": null,
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- "base_model_name_or_path": "daryl149/llama-2-7b-chat-hf",
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  "bias": "none",
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  "fan_in_fan_out": false,
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  "inference_mode": true,
@@ -16,8 +16,8 @@
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
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- "q_proj",
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- "v_proj"
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  ],
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  "task_type": "CAUSAL_LM"
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  }
 
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  {
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  "alpha_pattern": {},
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  "auto_mapping": null,
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+ "base_model_name_or_path": "WizardLM/WizardMath-7B-V1.0",
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  "bias": "none",
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  "fan_in_fan_out": false,
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  "inference_mode": true,
 
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
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+ "v_proj",
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+ "q_proj"
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  ],
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  "task_type": "CAUSAL_LM"
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  }
adapter_model.bin CHANGED
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  version https://git-lfs.github.com/spec/v1
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- oid sha256:592260d0537fa891f614a1b6a83c42c626d7ad3cbd998106993e27c70071b7d5
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  size 16822989
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:18bb149c44a1f0404db23b2989653030002adfc477785a1b148b9271d608a000
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  size 16822989