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Model: Lambent/Qwen3-4B-Base-Continued-GRPO-Style-Karcher Source: Original Platform
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119
README.md
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README.md
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---
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base_model:
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- Lambent/Qwen3-4B-Base-Continued-GRPO-Wave
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library_name: transformers
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tags:
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- mergekit
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- merge
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license: apache-2.0
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---
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For this one...
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... (over)trained a SmolLM2-360M on 5 epochs at swept-for LR and rank on each of the target domains to fit style,
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then rewarded the model for lowering perplexity on the proxy model.
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In this case, trained an adapter per domain and then Karcher merged them.
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I'm not sure if any of the domains had notably different effect, they all basically had the same result on evals.
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However, the karcher combination of them seem to have significantly lowered perplexity on lambada_openai, which is interesting enough to publish.
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Additionally, attempted to implement MARA from https://im-ant.github.io/mara/ on the GRPO side to help preserve distribution entropy, though I'm unsure how correctly/usefully we did so.
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| Task | Metric | Qwen3-4B-Base | GRPO-Merge | Δ Base | GRPO-Wave | Δ Base | Δ Merge | Style-Karcher | Δ Base | Δ Wave |
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|:-----|:-------|:-------------:|:----------:|:------:|:---------:|:------:|:-------:|:-------------:|:------:|:------:|
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| arc_easy | acc | 0.7891 | 0.7870 | -0.27% | 0.7912 | +0.27% | +0.53% | 0.7883 | -0.10% | -0.37% |
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| arc_easy | acc_norm | 0.7609 | 0.7605 | -0.05% | 0.7643 | +0.45% | +0.50% | 0.7576 | -0.43% | -1.04% |
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| lambada_openai | acc | 0.6912 | 0.6984 | +1.04% | 0.7006 | +1.36% | +0.31% | **0.7087** | **+2.53%** | +1.16% |
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| lambada_openai | perplexity ↓ | 4.2433 | 4.0490 | -4.58% | 3.9616 | -6.64% | -2.16% | **3.8343** | **-9.63%** | -3.21% |
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| openbookqa | acc | 0.3160 | 0.3180 | +0.63% | 0.3180 | +0.63% | ±0.00% | 0.3160 | ±0.00% | -0.63% |
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| openbookqa | acc_norm | 0.4100 | 0.4120 | +0.49% | 0.4100 | ±0.00% | -0.49% | 0.4080 | -0.49% | -0.49% |
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| piqa | acc | 0.7797 | 0.7807 | +0.13% | 0.7813 | +0.21% | +0.08% | 0.7786 | -0.14% | -0.35% |
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| piqa | acc_norm | 0.7807 | 0.7807 | ±0.00% | 0.7813 | +0.08% | +0.08% | 0.7807 | ±0.00% | -0.08% |
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Some very interesting results on diversity also:
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**Diversity Metrics (Qwen3-4B-Base vs Style-Karcher, temperature=1.0, 8 completions per prompt)**
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| Domain | Metric | Base | Karcher | Δ |
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|--------|--------|:----:|:-------:|:-:|
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| ao3_english | Prefix entropy | 3.309 | 3.238 | -2.1% |
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| ao3_english | Distinct-1 | 0.618 | **0.683** | **+10.5%** |
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| ao3_english | Distinct-2 | 0.962 | **0.984** | +2.3% |
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| ao3_english | Pairwise diversity | 0.919 | **0.932** | +1.4% |
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| github_python | Prefix entropy | 1.514 | 1.456 | -3.8% |
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| github_python | Distinct-1 | 0.610 | **0.624** | +2.3% |
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| github_python | Distinct-2 | 0.890 | 0.876 | -1.6% |
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| github_python | Pairwise diversity | 0.933 | 0.933 | ±0.0% |
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| wikipedia_english | Prefix entropy | 1.974 | 1.892 | -4.2% |
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| wikipedia_english | Distinct-1 | 0.599 | 0.559 | -6.7% |
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| wikipedia_english | Distinct-2 | 0.932 | 0.898 | -3.6% |
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| wikipedia_english | Pairwise diversity | 0.907 | 0.900 | -0.8% |
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| bbc_news | Prefix entropy | 2.252 | 2.186 | -2.9% |
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| bbc_news | Distinct-1 | 0.557 | **0.577** | +3.6% |
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| bbc_news | Distinct-2 | 0.949 | **0.951** | +0.3% |
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| bbc_news | Pairwise diversity | 0.901 | **0.908** | +0.8% |
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| arxiv_cs | Prefix entropy | 2.455 | 2.346 | -4.4% |
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| arxiv_cs | Distinct-1 | 0.555 | **0.567** | +2.3% |
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| arxiv_cs | Distinct-2 | 0.905 | **0.906** | +0.2% |
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| arxiv_cs | Pairwise diversity | 0.895 | **0.901** | +0.7% |
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Additional experiment (after quantization, should affect further training but not existing quants):
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Initializing the \<think\>\</think\> tokens in embedding space.
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Original embeddings were identical (cos=1.0) at 0.3x norm, untrained.
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Optimized via AdamW on GSM8k reasoning traces with 3-shot prefix, loss on
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reasoning+answer tokens, norm clamped to 1.5x avg embedding norm.
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After: two distinct vectors (cos=0.07) at 1.5x norm.
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GSM8k 3-shot accuracy: 96.7% (29/30) vs 90.0% with original embeddings.
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CE loss improvement: +7.8% on held-out eval.
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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## Merge Details
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### Merge Method
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This model was merged using the [Karcher Mean](https://en.wikipedia.org/wiki/Karcher_mean) merge method.
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### Models Merged
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The following models were included in the merge:
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* ../rlvr-envs/Qwen3-4B-Base-Continued-GRPO-Wave + ../rlvr-envs/grpo-github_javascript-mara-360m
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* ../rlvr-envs/Qwen3-4B-Base-Continued-GRPO-Wave + ../rlvr-envs/grpo-arxiv_cs-mara-360m
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* ../rlvr-envs/Qwen3-4B-Base-Continued-GRPO-Wave + ../rlvr-envs/grpo-general-ao3style-360m
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* ../rlvr-envs/Qwen3-4B-Base-Continued-GRPO-Wave + ../rlvr-envs/grpo-ao3_english-mara-360m
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* ../rlvr-envs/Qwen3-4B-Base-Continued-GRPO-Wave + ../rlvr-envs/grpo-arxiv_math-mara-360m
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* ../rlvr-envs/Qwen3-4B-Base-Continued-GRPO-Wave + ../rlvr-envs/grpo-github_python-mara-360m
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* ../rlvr-envs/Qwen3-4B-Base-Continued-GRPO-Wave + ../rlvr-envs/grpo-wikipedia_english-mara-360m
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* ../rlvr-envs/Qwen3-4B-Base-Continued-GRPO-Wave + ../rlvr-envs/grpo-arxiv_physics-mara-360m
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* ../rlvr-envs/Qwen3-4B-Base-Continued-GRPO-Wave + ../rlvr-envs/grpo-github_cpp-mara-360m
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* ../rlvr-envs/Qwen3-4B-Base-Continued-GRPO-Wave + ../rlvr-envs/grpo-bbc_news-mara-360m
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* ../rlvr-envs/Qwen3-4B-Base-Continued-GRPO-Wave + ../rlvr-envs/grpo-github_markdown-mara-360m
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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models:
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- model: ../rlvr-envs/Qwen3-4B-Base-Continued-GRPO-Wave+../rlvr-envs/grpo-ao3_english-mara-360m
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- model: ../rlvr-envs/Qwen3-4B-Base-Continued-GRPO-Wave+../rlvr-envs/grpo-arxiv_cs-mara-360m
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- model: ../rlvr-envs/Qwen3-4B-Base-Continued-GRPO-Wave+../rlvr-envs/grpo-arxiv_math-mara-360m
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- model: ../rlvr-envs/Qwen3-4B-Base-Continued-GRPO-Wave+../rlvr-envs/grpo-arxiv_physics-mara-360m
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- model: ../rlvr-envs/Qwen3-4B-Base-Continued-GRPO-Wave+../rlvr-envs/grpo-bbc_news-mara-360m
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- model: ../rlvr-envs/Qwen3-4B-Base-Continued-GRPO-Wave+../rlvr-envs/grpo-github_cpp-mara-360m
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- model: ../rlvr-envs/Qwen3-4B-Base-Continued-GRPO-Wave+../rlvr-envs/grpo-github_javascript-mara-360m
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- model: ../rlvr-envs/Qwen3-4B-Base-Continued-GRPO-Wave+../rlvr-envs/grpo-github_markdown-mara-360m
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- model: ../rlvr-envs/Qwen3-4B-Base-Continued-GRPO-Wave+../rlvr-envs/grpo-github_python-mara-360m
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- model: ../rlvr-envs/Qwen3-4B-Base-Continued-GRPO-Wave+../rlvr-envs/grpo-wikipedia_english-mara-360m
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- model: ../rlvr-envs/Qwen3-4B-Base-Continued-GRPO-Wave+../rlvr-envs/grpo-general-ao3style-360m
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merge_method: karcher
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dtype: bfloat16
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tokenizer_source: ../rlvr-envs/Qwen3-4B-Base-Continued-GRPO-Wave
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```
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28
added_tokens.json
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added_tokens.json
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{
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"</think>": 151668,
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"</tool_call>": 151658,
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"</tool_response>": 151666,
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"<think>": 151667,
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"<tool_call>": 151657,
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"<tool_response>": 151665,
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"<|box_end|>": 151649,
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"<|box_start|>": 151648,
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"<|endoftext|>": 151643,
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"<|file_sep|>": 151664,
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"<|fim_middle|>": 151660,
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"<|fim_pad|>": 151662,
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"<|fim_prefix|>": 151659,
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"<|fim_suffix|>": 151661,
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"<|im_end|>": 151645,
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"<|im_start|>": 151644,
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"<|image_pad|>": 151655,
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"<|object_ref_end|>": 151647,
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"<|object_ref_start|>": 151646,
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"<|quad_end|>": 151651,
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"<|quad_start|>": 151650,
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"<|repo_name|>": 151663,
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"<|video_pad|>": 151656,
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"<|vision_end|>": 151653,
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"<|vision_pad|>": 151654,
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"<|vision_start|>": 151652
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}
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85
chat_template.jinja
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chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0].role == 'system' %}
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{{- messages[0].content + '\n\n' }}
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{%- endif %}
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{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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{%- else %}
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{%- if messages[0].role == 'system' %}
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{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
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{%- for message in messages[::-1] %}
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{%- set index = (messages|length - 1) - loop.index0 %}
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{%- if ns.multi_step_tool and message.role == "user" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
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{%- set ns.multi_step_tool = false %}
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{%- set ns.last_query_index = index %}
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{%- endif %}
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{%- endfor %}
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{%- for message in messages %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
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{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{%- set content = message.content %}
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{%- set reasoning_content = '' %}
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{%- if message.reasoning_content is defined and message.reasoning_content is not none %}
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{%- set reasoning_content = message.reasoning_content %}
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{%- else %}
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{%- if '</think>' in message.content %}
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{%- set content = message.content.split('</think>')[-1].lstrip('\n') %}
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{%- set reasoning_content = message.content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
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{%- endif %}
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{%- endif %}
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{%- if loop.index0 > ns.last_query_index %}
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{%- if loop.last or (not loop.last and reasoning_content) %}
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{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- if message.tool_calls %}
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{%- for tool_call in message.tool_calls %}
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{%- if (loop.first and content) or (not loop.first) %}
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{{- '\n' }}
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{%- endif %}
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{%- if tool_call.function %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '<tool_call>\n{"name": "' }}
|
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{{- tool_call.name }}
|
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{{- '", "arguments": ' }}
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{%- if tool_call.arguments is string %}
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{{- tool_call.arguments }}
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{%- else %}
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{{- tool_call.arguments | tojson }}
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{%- endif %}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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{%- endif %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "tool" %}
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{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|im_start|>user' }}
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{%- endif %}
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{{- '\n<tool_response>\n' }}
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{{- message.content }}
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{{- '\n</tool_response>' }}
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
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{{- '<|im_start|>assistant\n' }}
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{%- if enable_thinking is defined and enable_thinking is false %}
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{{- '<think>\n\n</think>\n\n' }}
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{%- endif %}
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{%- endif %}
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68
config.json
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config.json
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{
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"architectures": [
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"Qwen3ForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 151643,
|
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"dtype": "bfloat16",
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"eos_token_id": 151643,
|
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"head_dim": 128,
|
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"hidden_act": "silu",
|
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"hidden_size": 2560,
|
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"initializer_range": 0.02,
|
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"intermediate_size": 9728,
|
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"layer_types": [
|
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"full_attention",
|
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"full_attention",
|
||||
"full_attention",
|
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"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
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"full_attention",
|
||||
"full_attention",
|
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"full_attention",
|
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"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
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"full_attention",
|
||||
"full_attention",
|
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"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
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"full_attention",
|
||||
"full_attention"
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],
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"max_position_embeddings": 32768,
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"max_window_layers": 36,
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"model_type": "qwen3",
|
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|
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||||
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||||
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|
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.q_norm.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.norm.weight": "model-00002-of-00002.safetensors"
|
||||
}
|
||||
}
|
||||
31
special_tokens_map.json
Normal file
31
special_tokens_map.json
Normal file
@@ -0,0 +1,31 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"eos_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
Binary file not shown.
239
tokenizer_config.json
Normal file
239
tokenizer_config.json
Normal file
@@ -0,0 +1,239 @@
|
||||
{
|
||||
"add_bos_token": false,
|
||||
"add_prefix_space": false,
|
||||
"added_tokens_decoder": {
|
||||
"151643": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151644": {
|
||||
"content": "<|im_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151645": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151646": {
|
||||
"content": "<|object_ref_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151647": {
|
||||
"content": "<|object_ref_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151648": {
|
||||
"content": "<|box_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151649": {
|
||||
"content": "<|box_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151650": {
|
||||
"content": "<|quad_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151651": {
|
||||
"content": "<|quad_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151652": {
|
||||
"content": "<|vision_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151653": {
|
||||
"content": "<|vision_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151654": {
|
||||
"content": "<|vision_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151655": {
|
||||
"content": "<|image_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151656": {
|
||||
"content": "<|video_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151657": {
|
||||
"content": "<tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151658": {
|
||||
"content": "</tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151659": {
|
||||
"content": "<|fim_prefix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151660": {
|
||||
"content": "<|fim_middle|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151661": {
|
||||
"content": "<|fim_suffix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151662": {
|
||||
"content": "<|fim_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151663": {
|
||||
"content": "<|repo_name|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151664": {
|
||||
"content": "<|file_sep|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151665": {
|
||||
"content": "<tool_response>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151666": {
|
||||
"content": "</tool_response>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151667": {
|
||||
"content": "<think>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151668": {
|
||||
"content": "</think>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"bos_token": null,
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|endoftext|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": {},
|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user