Delete .ipynb_checkpoints
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.ipynb_checkpoints/README-checkpoint.md
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---
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license: apache-2.0
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base_model:
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- allenai/Olmo-3-7B-Think
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tags:
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- llmcompressor
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---
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This is [allenai/Olmo-3-7B-Think](https://huggingface.co/allenai/Olmo-3-7B-Think) quantized with [LLM Compressor](https://github.com/vllm-project/llm-compressor) with Smoothquant (W8A8). The model is compatible with vLLM (tested: v0.11.2). Tested with an RTX 4090.
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- **Developed by:** [The Kaitchup](https://kaitchup.substack.com/)
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- **License:** Apache 2.0 license
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## How to Support My Work
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Subscribe to [The Kaitchup](https://kaitchup.substack.com/subscribe). This helps me a lot to continue quantizing and evaluating models for free. Or you can "[buy me a kofi](https://ko-fi.com/bnjmn_marie)".
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.ipynb_checkpoints/config-checkpoint.json
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{
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"architectures": [
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"Olmo3ForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"dtype": "bfloat16",
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"eos_token_id": 100257,
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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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"layer_types": [
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"full_attention"
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],
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"max_position_embeddings": 65536,
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"model_type": "olmo3",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 32,
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"pad_token_id": 100277,
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"quantization_config": {
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"config_groups": {
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"group_0": {
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"format": "int-quantized",
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"input_activations": {
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"actorder": null,
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"block_structure": null,
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"dynamic": true,
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"group_size": null,
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"num_bits": 8,
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"observer": null,
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"observer_kwargs": {},
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"strategy": "token",
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"symmetric": true,
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"type": "int"
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},
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"output_activations": null,
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"targets": [
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"Linear"
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],
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"weights": {
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"actorder": null,
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"block_structure": null,
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"dynamic": false,
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"group_size": null,
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"num_bits": 8,
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"observer": "minmax",
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"observer_kwargs": {},
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"strategy": "channel",
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"symmetric": true,
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"type": "int"
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}
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}
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},
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"format": "int-quantized",
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"global_compression_ratio": null,
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"ignore": [
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"lm_head"
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],
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"kv_cache_scheme": null,
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"quant_method": "compressed-tensors",
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"quantization_status": "compressed",
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"sparsity_config": {},
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"transform_config": {},
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"version": "0.12.3.a20251114"
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},
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"rms_norm_eps": 1e-06,
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"rope_scaling": {
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"attention_factor": 1.2079441541679836,
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"beta_fast": 32,
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"beta_slow": 1,
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"factor": 8.0,
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"original_max_position_embeddings": 8192,
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"rope_type": "yarn"
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},
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"rope_theta": 500000,
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"transformers_version": "4.57.3",
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"use_cache": false,
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"vocab_size": 100278
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}
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