Delete folder gemma-3-1b-it-bnb4 with huggingface_hub
Browse files
gemma-3-1b-it-bnb4/README.md
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---
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library_name: cellm
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tags:
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- mobile
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- rust
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- memory-efficient
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- quantized
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- gemma
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---
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# Gemma 3 1B IT (4-bit, bitsandbytes)
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This folder contains a 4-bit quantized Gemma 3 1B Instruct model package prepared for upload.
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## Files
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- `model.safetensors`
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- `config.json`
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- `generation_config.json`
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- `tokenizer.json`
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- `tokenizer_config.json`
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- `chat_template.jinja`
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## Model Details
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- **Base model**: `google/gemma-3-1b-it`
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- **Quantization**: 4-bit (bitsandbytes)
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- **On-disk size**: ~952 MB (folder)
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## Quick Python Check
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM
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path = "models/to-huggingface/gemma-3-1b-it-bnb4"
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tok = AutoTokenizer.from_pretrained(path)
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model = AutoModelForCausalLM.from_pretrained(path, device_map="cpu")
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msgs = [{"role": "user", "content": "Say hello in one short line."}]
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prompt = tok.apply_chat_template(msgs, tokenize=False, add_generation_prompt=True)
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inputs = tok(prompt, return_tensors="pt")
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out = model.generate(**inputs, max_new_tokens=24, do_sample=False)
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print(tok.decode(out[0], skip_special_tokens=True))
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```
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## Notes
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- This package is in Hugging Face/Transformers-compatible format.
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- If you want a `.cellm` release for this model too, run converter separately and publish as a second artifact.
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## License
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Subject to Gemma terms and upstream license constraints.
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gemma-3-1b-it-bnb4/chat_template.jinja
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{{ bos_token }}
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{%- if messages[0]['role'] == 'system' -%}
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{%- if messages[0]['content'] is string -%}
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{%- set first_user_prefix = messages[0]['content'] + '
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' -%}
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{%- else -%}
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{%- set first_user_prefix = messages[0]['content'][0]['text'] + '
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' -%}
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{%- endif -%}
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{%- set loop_messages = messages[1:] -%}
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{%- else -%}
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{%- set first_user_prefix = "" -%}
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{%- set loop_messages = messages -%}
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{%- endif -%}
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{%- for message in loop_messages -%}
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{%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
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{{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
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{%- endif -%}
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{%- if (message['role'] == 'assistant') -%}
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{%- set role = "model" -%}
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{%- else -%}
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{%- set role = message['role'] -%}
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{%- endif -%}
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{{ '<start_of_turn>' + role + '
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' + (first_user_prefix if loop.first else "") }}
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{%- if message['content'] is string -%}
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{{ message['content'] | trim }}
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{%- elif message['content'] is iterable -%}
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{%- for item in message['content'] -%}
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{%- if item['type'] == 'image' -%}
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{{ '<start_of_image>' }}
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{%- elif item['type'] == 'text' -%}
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{{ item['text'] | trim }}
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{%- endif -%}
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{%- endfor -%}
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{%- else -%}
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{{ raise_exception("Invalid content type") }}
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{%- endif -%}
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{{ '<end_of_turn>
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' }}
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{%- endfor -%}
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{%- if add_generation_prompt -%}
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{{'<start_of_turn>model
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'}}
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{%- endif -%}
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gemma-3-1b-it-bnb4/config.json
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{
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"_sliding_window_pattern": 6,
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"architectures": [
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"Gemma3ForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"attn_logit_softcapping": null,
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"bos_token_id": 2,
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"cache_implementation": "hybrid",
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"dtype": "bfloat16",
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"eos_token_id": [
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1,
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106
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],
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"final_logit_softcapping": null,
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"head_dim": 256,
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"hidden_activation": "gelu_pytorch_tanh",
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"hidden_size": 1152,
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"initializer_range": 0.02,
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"intermediate_size": 6912,
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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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"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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"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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"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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"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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],
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"max_position_embeddings": 32768,
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"model_type": "gemma3_text",
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"num_attention_heads": 4,
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"num_hidden_layers": 26,
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"num_key_value_heads": 1,
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"pad_token_id": 0,
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"quantization_config": {
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"_load_in_4bit": true,
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"_load_in_8bit": false,
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"bnb_4bit_compute_dtype": "float16",
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"bnb_4bit_quant_storage": "uint8",
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"bnb_4bit_quant_type": "nf4",
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"bnb_4bit_use_double_quant": true,
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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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"llm_int8_skip_modules": null,
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"llm_int8_threshold": 6.0,
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"load_in_4bit": true,
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"load_in_8bit": false,
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"quant_method": "bitsandbytes"
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},
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"query_pre_attn_scalar": 256,
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"rms_norm_eps": 1e-06,
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"rope_parameters": {
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"full_attention": {
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"rope_theta": 1000000,
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"rope_type": "default"
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},
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"sliding_attention": {
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"rope_theta": 10000,
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"rope_type": "default"
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}
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},
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"sliding_window": 512,
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"sliding_window_pattern": 6,
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"tie_word_embeddings": true,
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"transformers_version": "5.5.0",
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"use_bidirectional_attention": false,
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"use_cache": true,
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"vocab_size": 262144
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}
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gemma-3-1b-it-bnb4/generation_config.json
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{
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"bos_token_id": 2,
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"cache_implementation": "hybrid",
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"do_sample": true,
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"eos_token_id": [
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1,
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106
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],
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"pad_token_id": 0,
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"top_k": 64,
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"top_p": 0.95,
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"transformers_version": "5.5.0"
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}
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gemma-3-1b-it-bnb4/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b7d1fc799ca03a5900612731f2480ed869681fb6edfa4fdca0679de3625bbab7
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size 964577519
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gemma-3-1b-it-bnb4/tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:daab2354f8a74e70d70b4d1f804939b68a8c9624dd06cb7858e52dd8970e9726
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size 33384567
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gemma-3-1b-it-bnb4/tokenizer_config.json
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{
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"backend": "tokenizers",
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"boi_token": "<start_of_image>",
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"bos_token": "<bos>",
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"clean_up_tokenization_spaces": false,
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"eoi_token": "<end_of_image>",
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"eos_token": "<eos>",
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"image_token": "<image_soft_token>",
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"is_local": true,
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"mask_token": "<mask>",
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"model_max_length": 1000000000000000019884624838656,
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"model_specific_special_tokens": {
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"boi_token": "<start_of_image>",
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"eoi_token": "<end_of_image>",
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"image_token": "<image_soft_token>"
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},
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"pad_token": "<pad>",
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"processor_class": "Gemma3Processor",
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"sp_model_kwargs": null,
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"spaces_between_special_tokens": false,
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"tokenizer_class": "GemmaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": false
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}
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