The IBM Granite 2B and 8B models are designed to support tool-based use cases and support for retrieval augmented generation (RAG), streamlining code generation, translation and bug fixing.
tools
2b
8b
24.4K Pulls Updated 7 days ago
f0993b3fe18e · 3.1GB
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general.architecturegranite
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general.basenamegranite-3.0
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general.file_type10
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general.finetuneinstruct
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general.licenseapache-2.0
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general.nameGranite 3.0 8b Instruct
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general.quantization_version2
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general.size_label8B
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general.tags[language, granite-3.0, text-generation]
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general.typemodel
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granite.attention.head_count32
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granite.attention.head_count_kv8
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granite.attention.layer_norm_rms_epsilon1e-05
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granite.attention.scale0.0078125
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granite.block_count40
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granite.context_length4096
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granite.embedding_length4096
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granite.embedding_scale12
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granite.feed_forward_length12800
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granite.logit_scale16
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granite.residual_scale0.22
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granite.rope.dimension_count128
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granite.rope.freq_base10000
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granite.vocab_size49155
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tokenizer.ggml.add_bos_tokenfalse
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tokenizer.ggml.add_space_prefixfalse
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tokenizer.ggml.bos_token_id0
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tokenizer.ggml.eos_token_id0
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tokenizer.ggml.merges[Ġ Ġ, ĠĠ ĠĠ, ĠĠĠĠ ĠĠĠĠ, ĠĠ Ġ, e r, ...]
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tokenizer.ggml.modelgpt2
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tokenizer.ggml.padding_token_id0
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tokenizer.ggml.prerefact
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tokenizer.ggml.token_type[3, 3, 3, 3, 3, ...]
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tokenizer.ggml.tokens[<|end_of_text|>, <fim_prefix>, <fim_middle>, <fim_suffix>, <fim_pad>, ...]
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NameTypeShape
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blk.33.ffn_gate.weightQ2_K[4096, 12800]
-
blk.33.ffn_norm.weightF32[4096]
-
blk.33.ffn_up.weightQ2_K[4096, 12800]
-
blk.34.attn_k.weightQ2_K[4096, 1024]
-
blk.34.attn_norm.weightF32[4096]
-
blk.34.attn_output.weightQ3_K[4096, 4096]
-
blk.34.attn_q.weightQ2_K[4096, 4096]
-
blk.34.attn_v.weightQ4_K[4096, 1024]
-
blk.34.ffn_down.weightQ3_K[12800, 4096]
-
blk.34.ffn_gate.weightQ2_K[4096, 12800]
-
blk.34.ffn_norm.weightF32[4096]
-
blk.34.ffn_up.weightQ2_K[4096, 12800]
-
blk.35.attn_k.weightQ2_K[4096, 1024]
-
blk.35.attn_norm.weightF32[4096]
-
blk.35.attn_output.weightQ3_K[4096, 4096]
-
blk.35.attn_q.weightQ2_K[4096, 4096]
-
blk.35.attn_v.weightQ4_K[4096, 1024]
-
blk.35.ffn_down.weightQ3_K[12800, 4096]
-
blk.35.ffn_gate.weightQ2_K[4096, 12800]
-
blk.35.ffn_norm.weightF32[4096]
-
blk.35.ffn_up.weightQ2_K[4096, 12800]
-
blk.36.attn_k.weightQ2_K[4096, 1024]
-
blk.36.attn_norm.weightF32[4096]
-
blk.36.attn_output.weightQ3_K[4096, 4096]
-
blk.36.attn_q.weightQ2_K[4096, 4096]
-
blk.36.attn_v.weightQ4_K[4096, 1024]
-
blk.36.ffn_down.weightQ3_K[12800, 4096]
-
blk.36.ffn_gate.weightQ2_K[4096, 12800]
-
blk.36.ffn_norm.weightF32[4096]
-
blk.36.ffn_up.weightQ2_K[4096, 12800]
-
blk.37.attn_k.weightQ2_K[4096, 1024]
-
blk.37.attn_norm.weightF32[4096]
-
blk.37.attn_output.weightQ3_K[4096, 4096]
-
blk.37.attn_q.weightQ2_K[4096, 4096]
-
blk.37.attn_v.weightQ4_K[4096, 1024]
-
blk.37.ffn_down.weightQ3_K[12800, 4096]
-
blk.37.ffn_gate.weightQ2_K[4096, 12800]
-
blk.37.ffn_norm.weightF32[4096]
-
blk.37.ffn_up.weightQ2_K[4096, 12800]
-
blk.38.attn_k.weightQ2_K[4096, 1024]
-
blk.38.attn_norm.weightF32[4096]
-
blk.38.attn_output.weightQ3_K[4096, 4096]
-
blk.38.attn_q.weightQ2_K[4096, 4096]
-
blk.38.attn_v.weightQ4_K[4096, 1024]
-
blk.38.ffn_down.weightQ3_K[12800, 4096]
-
blk.38.ffn_gate.weightQ2_K[4096, 12800]
-
blk.38.ffn_norm.weightF32[4096]
-
blk.38.ffn_up.weightQ2_K[4096, 12800]
-
blk.39.attn_k.weightQ2_K[4096, 1024]
-
blk.39.attn_norm.weightF32[4096]
-
blk.39.attn_output.weightQ3_K[4096, 4096]
-
blk.39.attn_q.weightQ2_K[4096, 4096]
-
blk.39.attn_v.weightQ4_K[4096, 1024]
-
blk.39.ffn_down.weightQ3_K[12800, 4096]
-
blk.39.ffn_gate.weightQ2_K[4096, 12800]
-
blk.39.ffn_norm.weightF32[4096]
-
blk.39.ffn_up.weightQ2_K[4096, 12800]
-
output_norm.weightF32[4096]
Metadata
Tensor
blk.0
blk.1
blk.2
blk.3
blk.4
blk.5
blk.6
blk.7
blk.8
blk.9
blk.10
blk.11
blk.12
blk.13
blk.14
blk.15
blk.16
blk.17
blk.18
blk.19
blk.20
blk.21
blk.22
blk.23
blk.24
blk.25
blk.26
blk.27
blk.28
blk.29
blk.30
blk.31
blk.32
blk.33
blk.34
blk.35
blk.36
blk.37
blk.38
blk.39