Quant for 6.5
Browse files- README.md +3 -20
- config.json +30 -0
- model.safetensors.index.json +1 -0
- original_repo_url.txt +1 -0
- output-00001-of-00003.safetensors +3 -0
- output-00002-of-00003.safetensors +3 -0
- output-00003-of-00003.safetensors +3 -0
- special_tokens_map.json +29 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +46 -0
README.md
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---
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license: apache-2.0
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tags:
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- moe
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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/v0.0.11">turboderp's ExLlamaV2 v0.0.11</a> for quantization.
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## The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)
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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 the default 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/mlabonne/Beyonder-4x7B-v2
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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 `Beyonder-4x7B-v2-exl2`:
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```shell
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mkdir Beyonder-4x7B-v2-exl2
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huggingface-cli download bartowski/Beyonder-4x7B-v2-exl2 --local-dir Beyonder-4x7B-v2-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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mkdir Beyonder-4x7B-v2-exl2
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huggingface-cli download bartowski/Beyonder-4x7B-v2-exl2 --revision
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```
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---
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quantized_by: bartowski
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---
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# Exllama v2 Quantizations of Beyonder-4x7B-v2 at 6.5 bits per weight
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Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.11">turboderp's ExLlamaV2 v0.0.11</a> for quantization.
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Conversion was done using the default calibration dataset.
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Original model: https://huggingface.co/mlabonne/Beyonder-4x7B-v2
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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 6.5 https://huggingface.co/bartowski/Beyonder-4x7B-v2-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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mkdir Beyonder-4x7B-v2-exl2
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huggingface-cli download bartowski/Beyonder-4x7B-v2-exl2 --revision 6_5 --local-dir Beyonder-4x7B-v2-exl2 --local-dir-use-symlinks False
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```
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config.json
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{
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"_name_or_path": "mlabonne/Marcoro14-7B-slerp",
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"architectures": [
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"MixtralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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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": 14336,
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"max_position_embeddings": 32768,
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"model_type": "mixtral",
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"num_attention_heads": 32,
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"num_experts_per_tok": 2,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"num_local_experts": 4,
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"output_router_logits": false,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"router_aux_loss_coef": 0.001,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.36.2",
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"use_cache": true,
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"vocab_size": 32000
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}
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model.safetensors.index.json
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